Computational Design of Proteins Targeting the Conserved Stem Region of Influenza Hemagglutinin
Open accessAbstract
Proteins can be designed that bind to specific patches on target proteins to alter their subsequent interactions.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Binders have been generated starting from several computationally identified hotspot residues, which were then used to guide the positioning of naturally occurring protein scaffolds.
“Binders have been generated starting from several computationally identified hotspot residues, which were then used to guide the positioning of naturally occurring protein scaffolds5.”
From Design of protein-binding proteins from the target structure alone (2022) · cites this paper as [5]
Designing proteins that bind to a specific site on the surface of a target protein using no information other than the three-dimensional structure of the target remains a challenge.
“The design of proteins that bind to a specific site on the surface of a target protein using no information other than the three-dimensional structure of the target remains a challenge1–5.”
From Design of protein-binding proteins from the target structure alone (2022) · cites this paper as [5]
The RIF approach improves on previous discrete interaction-sampling approaches by reducing the algorithmic complexity from O(N) or O(N2) to O(1) with respect to the number of side-chain-target interactions considered, thereby allowing for billions, rather than thousands, of potential interfaces to be considered.
“The RIF approach improves on previous discrete interaction-sampling approaches5 by reducing the algorithmic complexity from O(N) or O(N2) to O(1) with respect to the number of side-chain–target interactions considered, thereby allowing for billions, rather than thousands, of potential interfaces to be considered.”
From Design of protein-binding proteins from the target structure alone (2022) · cites this paper as [5]
Protein, peptide and small-molecule inhibitors have been designed to bind to the stem region of group 1 HA and neutralize influenza A viruses, but none recognize the group 2 HA.
“Protein1,5, peptide36 and small-molecule inhibitors37 have been designed to bind to the stem region of group 1 HA and neutralize influenza A viruses, but none recognize the group 2 HA.”
From Design of protein-binding proteins from the target structure alone (2022) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
PatchDock and SymmDock: servers for rigid and symmetric docking
Schneidman-Duhovny, D., Inbar, Y., Nussinov, R., & Wolfson, H. J. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki481 · Cited by 3,018 · see citing works
A Hot Spot of Binding Energy in a Hormone-Receptor Interface
Clackson, T., & Wells, J. A. (1995) · Science · doi:10.1126/science.7529940 · Cited by 1,987 · see citing works
The atomic structure of protein-protein recognition sites 1 1Edited by A. R. Fersht
Conte, L. L., Chothia, C., & Janin, J. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1998.2439 · Cited by 1,967 · see citing works
Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
Kuhlman, B. A., Dantas, G. A., Ireton, G. C., Varani, G., Stoddard, B. L., & Baker, D. A. (2003) · Science · doi:10.1126/science.1089427 · Cited by 1,666 · see citing works
Self-citationAntibody Recognition of a Highly Conserved Influenza Virus Epitope
Ekiert, D. C., Bhabha, G., Elsliger, M.-A., Friesen, R. H. E., Jongeneelen, M., Throsby, M., Goudsmit, J., & Wilson, I. A. (2009) · Science · doi:10.1126/science.1171491 · Cited by 1,326 · see citing works
Self-citationSui, J., Hwang, W. C., Perez, S., Ge, W., Aird, D. R., Chen, L., Santelli, E., Stec, B., Cadwell, G., Ali, M., et al. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1566 · Cited by 1,132 · see citing works
Gray, J. J., Moughon, S. E., Wang, C., Schueler‐Furman, O., Kuhlman, B. A., Rohl, C. A., & Baker, D. A. (2003) · Journal of Molecular Biology · doi:10.1016/s0022-2836(03)00670-3 · Cited by 1,130 · see citing works
Self-citationClinical Aspects of Pandemic 2009 Influenza A (H1N1) Virus Infection
Writing Committee of the WHO Consultation on Clinical Aspects of Pandemic (H1N1) 2009 Influenza (2010) · New England Journal of Medicine · doi:10.1056/nejmra1000449 · Cited by 1,056 · see citing works
Macromolecular Modeling with Rosetta
Das, R., & Baker, D. A. (2008) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.062906.171838 · Cited by 995 · see citing works
Self-citationIsolating and engineering human antibodies using yeast surface display
Chao, G., Lau, W. L., Hackel, B. J., Sazinsky, S. L., Lippow, S. M., & Wittrup, K. D. (2006) · Nature Protocols · doi:10.1038/nprot.2006.94 · Cited by 913 · see citing works
Chen, J., Skehel, J. J., & Wiley, D. C. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.16.8967 · Cited by 295 · see citing works
Computational redesign of protein-protein interaction specificity
Kortemme, T., Joachimiak, Ł. A., Bullock, A. N., Schuler, A. D., Stoddard, B. L., & Baker, D. A. (2004) · Nature Structural & Molecular Biology · doi:10.1038/nsmb749 · Cited by 294 · see citing works
Self-citationRossmann, M. G. (1989) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)63732-9 · Cited by 226 · see citing works
A De Novo Protein Binding Pair By Computational Design and Directed Evolution
Karanicolas, J., Corn, J. E., Chen, I., Joachimiak, Ł. A., Dym, O., Peck, S. H., Albeck, S., Unger, T., Hu, W., Liu, G., et al. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.03.010 · Cited by 164 · see citing works
Self-citationA de novo designed protein–protein interface
Huang, P., Love, J. J., & Mayo, S. L. (2007) · Protein Science · doi:10.1110/ps.073125207 · Cited by 90 · see citing works
Nonnatural protein–protein interaction-pair design by key residues grafting
Liu, S., Liu, S., Zhu, X., Liang, H., Cao, A., Chang, Z., & Lai, L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606198104 · Cited by 80 · see citing works
Manufacturing Immunity to Disease in a Test Tube: The Magic Bullet Realized
Lerner, R. A. (2006) · Angewandte Chemie International Edition · doi:10.1002/anie.200603381 · Cited by 73 · see citing works
Computational Design of a PAK1 Binding Protein
Jha, R. K., Leaver‐Fay, A., Yin, S., Wu, Y., Butterfoss, G. L., Szyperski, T., Dokholyan, N. V., & Kuhlman, B. A. (2010) · Journal of Molecular Biology · doi:10.1016/j.jmb.2010.05.006 · Cited by 68 · see citing works
Crystal structure of the MYB domain of the RAD transcription factor from Antirrhinum majus
Stevenson, C. E. M., Burton, N. P., Costa, M. M. R., Nath, U., Dixon, R. A., Coen, E., & Lawson, D. M. (2006) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.21136 · Cited by 23 · see citing works
Monoclonal antibodies come of age
Ledford, H. K. (2008) · Nature · doi:10.1038/455437a · Cited by 14 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [8]Bautista E N Engl J Med 2010 362 1708 20445182
Cited by
Sorted by citations
The Protein-Folding Problem, 50 Years On
Dill, K. A., & MacCallum, J. L. (2012) · Science · doi:10.1126/science.1219021 · Cited by 1,699 · see citing works
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
Alford, R. F., Leaver-Fay, A., Jeliazkov, J. R., O’Meara, M. J., DiMaio, F. P., Park, H., Shapovalov, M. V., Renfrew, P. D., Mulligan, V. K., Kappel, K., et al. (2017) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.7b00125 · Cited by 1,532 · see citing works
Self-citationHigh-Resolution Comparative Modeling with RosettaCM
Song, Y., DiMaio, F., Wang, R. Y., Kim, D. E., Miles, C., Brunette, T., Thompson, J., & Baker, D. A. (2013) · Structure · doi:10.1016/j.str.2013.08.005 · Cited by 1,079 · see citing works
Self-citationDeciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
Gaínza, P., Sverrisson, F., Monti, F., Rodolà, E., Boscaini, D., Bronstein, M. M., & Correia, B. E. (2019) · Nature Methods · doi:10.1038/s41592-019-0666-6 · Cited by 811 · see citing works
Advances in protein structure prediction and design
Kuhlman, B., & Bradley, P. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0163-x · Cited by 806 · see citing works
How good is automated protein docking?
Kozakov, D., Beglov, D., Bohnuud, T., Mottarella, S. E., Xia, B., Hall, D. R., & Vajda, S. (2013) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.24403 · Cited by 748 · see citing works
RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite
Fleishman, S. J., Leaver‐Fay, A., Corn, J. E., Strauch, E., Khare, S. D., Koga, N., Ashworth, J. R., Murphy, P. M., Richter, F. M., Lemmon, G., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020161 · Cited by 659 · see citing works
Self-citationComputational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy
King, N. P., Sheffler, W., Sawaya, M. R., Vollmar, B. S., Sumida, J. P., André, I., Gonen, T., Yeates, T. O., & Baker, D. A. (2012) · Science · doi:10.1126/science.1219364 · Cited by 651 · see citing works
Self-citationDesign of protein-binding proteins from the target structure alone
Cao, L., Coventry, B., Goreshnik, I., Huang, B., Sheffler, W., Park, J. S., Jude, K. M., Marković, I., Kadam, R. U., Verschueren, K. H. G., et al. (2022) · Nature · doi:10.1038/s41586-022-04654-9 · Cited by 577 · see citing works
Self-citationPrinciples for designing ideal protein structures
Koga, N., Tatsumi-Koga, R., Liu, G., Xiao, R., Acton, T. B., Montelione, G. T., & Baker, D. (2012) · Nature · doi:10.1038/nature11600 · Cited by 564 · see citing works
Self-citationCatalytic X–H insertion reactions based on carbenoids
Gillingham, D. G., & Fei, N. (2013) · Chemical Society Reviews · doi:10.1039/c3cs35496b · Cited by 594 · see citing works
Goldenzweig, A., Goldsmith, M., Hill, S. E., Gertman, O., Laurino, P., Ashani, Y., Dym, O., Unger, T., Albeck, S., Prilusky, J., et al. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.06.012 · Cited by 579 · see citing works
Self-citationDe novo design of potent and selective mimics of IL-2 and IL-15
Silva, D.-A., Yu, S., Ulge, U. Y., Spangler, J. B., Jude, K. M., Labão-Almeida, C., Ali, L. R., Quijano-Rubio, A., Ruterbusch, M., Leung, I., et al. (2019) · Nature · doi:10.1038/s41586-018-0830-7 · Cited by 531 · see citing works
Self-citationAccurate design of coassembling multi-component protein nanomaterials
King, N., Bale, J., Sheffler, W., McNamara, D., Gonen, S., Gonen, T., Yeates, T., & Baker, D. (2014) · Nature · doi:10.1038/nature13404 · Cited by 523 · see citing works
Self-citationOn the binding affinity of macromolecular interactions: daring to ask why proteins interact
Kastritis, P. L., & Bonvin, A. M. J. J. (2012) · Journal of The Royal Society Interface · doi:10.1098/rsif.2012.0835 · Cited by 519 · see citing works
Massively parallel de novo protein design for targeted therapeutics
Chevalier, A., Silva, D.-A., Rocklin, G. J., Hicks, D. R., Vergara, R., Murapa, P., Bernard, S. M., Zhang, L., Lam, K.-H., Yao, G., et al. (2017) · Nature · doi:10.1038/nature23912 · Cited by 453 · see citing works
Self-citationKiss, G., Çelebi‐Ölçüm, N., Moretti, R., Baker, D. A., & Houk, K. N. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201204077 · Cited by 493 · see citing works
Self-citationB-cell–lineage immunogen design in vaccine development with HIV-1 as a case study
Haynes, B. F., Kelsoe, G. H., Harrison, S. C., & Kepler, T. B. (2012) · Nature Biotechnology · doi:10.1038/nbt.2197 · Cited by 481 · see citing works
Cross-neutralization of influenza A viruses mediated by a single antibody loop
Ekiert, D. C., Kashyap, A. K., Steel, J., Rubrum, A. M., Bhabha, G., Khayat, R., Lee, J. H., Dillon, M. A., O’Neil, R. E., Faynboym, A. M., et al. (2012) · Nature · doi:10.1038/nature11414 · Cited by 483 · see citing works
Self-citationStructure-based design of non-natural amino-acid inhibitors of amyloid fibril formation
Sievers, S. A., Karanicolas, J., Chang, H. W., Zhao, A., Jiang, L., Zirafi, O., Stevens, J. T., Münch, J., Baker, D. A., & Eisenberg, D. S. (2011) · Nature · doi:10.1038/nature10154 · Cited by 459 · see citing works
Self-citationAccurate de novo design of hyperstable constrained peptides
Bhardwaj, G., Mulligan, V. K., Bahl, C. D., Gilmore, J. M., Harvey, P. J., Cheneval, O., Buchko, G. W., Pulavarti, S. V. S. R. K., Kaas, Q., Eletsky, A., et al. (2016) · Nature · doi:10.1038/nature19791 · Cited by 442 · see citing works
Self-citationBurton, D. R., Poignard, P., Stanfield, R. L., & Wilson, I. A. (2012) · Science · doi:10.1126/science.1225416 · Cited by 416 · see citing works
Self-citationImproving de novo protein binder design with deep learning
Bennett, N. R., Coventry, B., Goreshnik, I., Huang, B., Allen, A., Vafeados, D., Peng, Y. P., Dauparas, J., Baek, M., Stewart, L., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38328-5 · Cited by 402 · see citing works
Self-citationJankauskaitė, J., Jiménez-García, B., Dapkūnas, J., Fernández-Recio, J., & Moal, I. H. (2019) · Bioinformatics · doi:10.1093/bioinformatics/bty635 · Cited by 389 · see citing works
RosettaRemodel: A Generalized Framework for Flexible Backbone Protein Design
Huang, P., Ban, Y. A., Richter, F. M., André, I., Vernon, R. M., Schief, W. R., & Baker, D. A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024109 · Cited by 373 · see citing works
Self-citationmCSM-PPI2: predicting the effects of mutations on protein–protein interactions
Rodrigues, C. H. M., Myung, Y., Pires, D. E. V., & Ascher, D. B. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz383 · Cited by 369 · see citing works
Whitehead, T. A., Chevalier, A. A., Song, Y., Dreyfus, C., Fleishman, S. J., de Mattos, C., Myers, C., Kamisetty, H., Blair, P. J., Wilson, I. A., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2214 · Cited by 364 · see citing works
Self-citationDe novo protein design—From new structures to programmable functions
Kortemme, T. (2024) · Cell · doi:10.1016/j.cell.2023.12.028 · Cited by 361 · see citing works
BeAtMuSiC: prediction of changes in protein–protein binding affinity on mutations
Dehouck, Y., Kwasigroch, J. M., Rooman, M., & Gilis, D. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt450 · Cited by 338 · see citing works
A protein engineered to bind uranyl selectively and with femtomolar affinity
Zhou, L., Bosscher, M. A., Zhang, C., Özçubukçu, S., Zhang, L., Zhang, W., Li, C. J., Liu, J., Jensen, M. P., Lai, L., et al. (2014) · Nature Chemistry · doi:10.1038/nchem.1856 · Cited by 339 · see citing works
Immune responses to influenza virus infection
Kreijtz, J. H. C. M., Fouchier, R. A. M., & Rimmelzwaan, G. F. (2011) · Virus Research · doi:10.1016/j.virusres.2011.09.022 · Cited by 335 · see citing works
The future of molecular dynamics simulations in drug discovery
Borhani, D. W., & Shaw, D. E. (2012) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-011-9517-y · Cited by 313 · see citing works
A Pareto-Optimal Refinement Method for Protein Design Scaffolds
Nivón, L. G., Moretti, R., & Baker, D. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059004 · Cited by 310 · see citing works
Self-citationDesign of a single-chain polypeptide tetrahedron assembled from coiled-coil segments
Gradišar, H., Abram, S. B., Doles, T., Vengust, D., Hafner‐Bratkovič, I., Mertelj, A., Webb, B., Šali, A., Klavžar, S., & Jerala, R. (2013) · Nature Chemical Biology · doi:10.1038/nchembio.1248 · Cited by 308 · see citing works
De novo design of protein homo-oligomers with modular hydrogen-bond network–mediated specificity
Boyken, S. E., Chen, Z., Groves, B., Langan, R. A., Oberdorfer, G., Ford, A., Gilmore, J. M., Xu, C., DiMaio, F., Pereira, J. H., et al. (2016) · Science · doi:10.1126/science.aad8865 · Cited by 298 · see citing works
Self-citationBarlow, K. A., Conchúir, S. Ó., Thompson, S., Suresh, P., Lucas, J. E., Heinonen, M., & Kortemme, T. (2018) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.7b11367 · Cited by 298 · see citing works
Moal, I. H., & Fernández-Recio, J. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts489 · Cited by 281 · see citing works
Deep learning methods in protein structure prediction
Torrisi, M., Pollastri, G., & Le, Q. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.12.011 · Cited by 289 · see citing works
Zhu, J., Avakyan, N., Kakkis, A., Hoffnagle, A. M., Han, K., Li, Y., Zhang, Z., Choi, T. S., Na, Y., Yu, C.-J., et al. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00308 · Cited by 286 · see citing works
Principles of Protein Stability and Their Application in Computational Design
Goldenzweig, A., & Fleishman, S. J. (2018) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-062917-012102 · Cited by 283 · see citing works
Self-citationCademartiri, L., & Bishop, K. J. M. (2014) · Nature Materials · doi:10.1038/nmat4184 · Cited by 277 · see citing works
Fletcher, J. M., Boyle, A. L., Bruning, M., Bartlett, G. J., Vincent, T. L., Zaccai, N. R., Armstrong, C. T., Bromley, E. H. C., Booth, P. J., Brady, R. L., et al. (2012) · ACS Synthetic Biology · doi:10.1021/sb300028q · Cited by 262 · see citing works
Defining B cell immunodominance to viruses
Angeletti, D., Gibbs, J. S., Angel, M., Košík, I., Hickman, H. D., Frank, G. M., Das, S. R., Wheatley, A. K., Prabhakaran, M. S., Leggat, D. J., et al. (2017) · Nature Immunology · doi:10.1038/ni.3680 · Cited by 257 · see citing works
Tiller, K. E., & Tessier, P. M. (2015) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071114-040733 · Cited by 255 · see citing works
Influenza Hemagglutinin Structures and Antibody RecognitionPreprint
Wu, N. C., & Wilson, I. A. (2019) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a038778 · Cited by 253 · see citing works
Self-citationDocking, scoring, and affinity prediction in CAPRI
Lensink, M. F., & Wodak, S. J. (2013) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.24428 · Cited by 249 · see citing works
Integrative, dynamic structural biology at atomic resolution—it's about time
Bedem, H. V. D., & Fraser, J. S. (2015) · Nature Methods · doi:10.1038/nmeth.3324 · Cited by 246 · see citing works
De novo design of protein interactions with learned surface fingerprints
Gaínza, P., Wehrle, S., Hall‐Beauvais, A. V., Marchand, A., Scheck, A., Harteveld, Z., Buckley, S., Ni, D., Tan, S., Sverrisson, F., et al. (2023) · Nature · doi:10.1038/s41586-023-05993-x · Cited by 241 · see citing works
Stranges, P. B., & Kuhlman, B. A. (2012) · Protein Science · doi:10.1002/pro.2187 · Cited by 233 · see citing works
Combined Covalent-Electrostatic Model of Hydrogen Bonding Improves Structure Prediction with Rosetta
O’Meara, M. J., Leaver‐Fay, A., Tyka, M. D., Stein, A., Houlihan, K., DiMaio, F., Bradley, P. H., Kortemme, T., Baker, D. A., Snoeyink, J. S., et al. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/ct500864r · Cited by 232 · see citing works
Self-citationRey, F. A., & Lok, S. (2018) · Cell · doi:10.1016/j.cell.2018.02.054 · Cited by 232 · see citing works
Analyses of the Effects of All Ubiquitin Point Mutants on Yeast Growth Rate
Roscoe, B. P., Thayer, K. M., Zeldovich, K. B., Fushman, D., & Bolon, D. N. A. (2013) · Journal of Molecular Biology · doi:10.1016/j.jmb.2013.01.032 · Cited by 229 · see citing works
RosettaAntibodyDesign (RAbD): a general framework for computational antibody design
Adolf-Bryfogle, J., Kalyuzhniy, O., Kubitz, M., Weitzner, B. D., Hu, X., Adachi, Y., Schief, W. R., & Dunbrack, R. L. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006112 · Cited by 227 · see citing works
Computation-Guided Backbone Grafting of a Discontinuous Motif onto a Protein Scaffold
Azoitei, M. L., Correia, B. E., Ban, Y.-E. A., Carrico, C., Kalyuzhniy, O., Chen, L., Schroeter, A., Huang, P.-S., McLellan, J. S., Kwong, P. D., et al. (2011) · Science · doi:10.1126/science.1209368 · Cited by 224 · see citing works
Self-citationLee, P. S., Ohshima, N., Stanfield, R. L., Yu, W., Iba, Y., Okuno, Y., Kurosawa, Y., & Wilson, I. A. (2014) · Nature Communications · doi:10.1038/ncomms4614 · Cited by 213 · see citing works
Self-citationDe novo protein design enables the precise induction of RSV-neutralizing antibodies
Sesterhenn, F., Yang, C., Bonet, J., Cramer, J. T., Wen, X., Wang, Y., Chiang, C.-I., Abriata, L. A., Kucharska, I., Castoro, G., et al. (2020) · Science · doi:10.1126/science.aay5051 · Cited by 191 · see citing works
Protocols for Molecular Modeling with Rosetta3 and RosettaScripts
Bender, B. J., Cisneros, A., Duran, A. M., Finn, J. A., Fu, D., Lokits, A. D., Mueller, B. K., Sangha, A. K., Sauer, M. F., Sevy, A. M., et al. (2016) · Biochemistry · doi:10.1021/acs.biochem.6b00444 · Cited by 206 · see citing works
Opportunities and challenges in design and optimization of protein function
Listov, D., Goverde, C. A., Correia, B. E., & Fleishman, S. J. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00718-y · Cited by 192 · see citing works
Self-citationAssessment of template based protein structure predictions in CASP9
Mariani, V., Kiefer, F., Schmidt, T., Haas, J., & Schwede, T. (2011) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.23177 · Cited by 185 · see citing works
Hot spots in protein–protein interfaces: Towards drug discovery
Cukuroglu, E., Engin, H. B., Gürsoy, A., & Keskin, Ö. (2014) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2014.06.003 · Cited by 177 · see citing works
Multiscale methods in drug design bridge chemical and biological complexity in the search for cures
Amaro, R. E., & Mulholland, A. J. (2018) · Nature Reviews Chemistry · doi:10.1038/s41570-018-0148 · Cited by 177 · see citing works
Wu, N. C., & Wilson, I. A. (2017) · Journal of Molecular Biology · doi:10.1016/j.jmb.2017.06.015 · Cited by 176 · see citing works
Self-citationSelf-assembly of genetically encoded DNA-protein hybrid nanoscale shapes
Praetorius, F., & Dietz, H. (2017) · Science · doi:10.1126/science.aam5488 · Cited by 171 · see citing works
Improving carbon fixation pathways
Ducat, D. C., & Silver, P. A. (2012) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2012.05.002 · Cited by 170 · see citing works
Computational design of a protein crystal
Lanci, C. J., MacDermaid, C. M., Kang, S.-G., Acharya, R., North, B., Yang, X., Qiu, X. J., DeGrado, W. F., & Saven, J. G. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112595109 · Cited by 170 · see citing works
Beigel, J. H., Nam, H. H., Adams, P. L., Krafft, A. E., Ince, W. L., El‐Kamary, S. S., & Sims, A. M. (2019) · Antiviral Research · doi:10.1016/j.antiviral.2019.04.006 · Cited by 168 · see citing works
Potent peptidic fusion inhibitors of influenza virus
Kadam, R. U., Juraszek, J., Brandenburg, B., Buyck, C., Schepens, W. B. G., Kesteleyn, B., Stoops, B., Vreeken, R. J., Vermond, J., Goutier, W., et al. (2017) · Science · doi:10.1126/science.aan0516 · Cited by 165 · see citing works
Self-citationProtein folding and de novo protein design for biotechnological applications
Khoury, G. A., Smadbeck, J. B., Kieslich, C. A., & Floudas, C. A. (2013) · Trends in biotechnology · doi:10.1016/j.tibtech.2013.10.008 · Cited by 162 · see citing works
Broadly neutralizing antibodies against influenza viruses
Laursen, N. S., & Wilson, I. A. (2013) · Antiviral Research · doi:10.1016/j.antiviral.2013.03.021 · Cited by 153 · see citing works
Self-citationAntibody Recognition of the Pandemic H1N1 Influenza Virus Hemagglutinin Receptor Binding Site
Hong, M., Lee, P. S., Hoffman, R. M. B., Zhu, X., Krause, J. C., Laursen, N. S., Yoon, S., Song, L., Tussey, L., Crowe, J. E., et al. (2013) · Journal of Virology · doi:10.1128/jvi.01388-13 · Cited by 152 · see citing works
Self-citationFully Flexible Docking of Medium Sized Ligand Libraries with RosettaLigand
DeLuca, S., Khar, K. R., & Meiler, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132508 · Cited by 150 · see citing works
Broadly neutralizing antibodies against influenza virus and prospects for universal therapies
Ekiert, D. C., & Wilson, I. A. (2012) · Current Opinion in Virology · doi:10.1016/j.coviro.2012.02.005 · Cited by 150 · see citing works
Self-citationPrinciples for computational design of binding antibodies
Baran, D., Pszolla, M. G., Lapidoth, G. D., Norn, C., Dym, O., Unger, T., Albeck, S., Tyka, M. D., & Fleishman, S. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707171114 · Cited by 136 · see citing works
Self-citationThe JAK-STAT pathway: from structural biology to cytokine engineering
Lv, Y., Qi, J., Babon, J. J., Cao, L., Fan, G.-H., Lang, J., Zhang, J., Mi, P., Kobe, B., & Wang, F. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01934-w · Cited by 149 · see citing works
A small-molecule fusion inhibitor of influenza virus is orally active in mice
van Dongen, M. J. P., Kadam, R. U., Juraszek, J., Lawson, E. C., Brandenburg, B., Schmitz, F., Schepens, W. B. G., Stoops, B., van Diepen, H. A., Jongeneelen, M. A. C., et al. (2019) · Science · doi:10.1126/science.aar6221 · Cited by 141 · see citing works
Self-citationStrategies Using Bio-Layer Interferometry Biosensor Technology for Vaccine Research and Development
Petersen, R. (2017) · Biosensors · doi:10.3390/bios7040049 · Cited by 140 · see citing works
Third generation antibody discovery methods: in silico rational design
Sormanni, P., Aprile, F. A., & Vendruscolo, M. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00523k · Cited by 136 · see citing works
Procko, E., Berguig, G. Y., Shen, B. W., Song, Y., Frayo, S., Convertine, A. J., Margineantu, D., Booth, G., Correia, B. E., Cheng, Y., et al. (2014) · Cell · doi:10.1016/j.cell.2014.04.034 · Cited by 127 · see citing works
Self-citationControl over overall shape and size in de novo designed proteins
Lin, Y., Koga, N., Koga, R., Liu, G., Clouser, A. F., Montelione, G. T., & Baker, D. A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1509508112 · Cited by 134 · see citing works
Self-citationStrauch, E.-M., Bernard, S. M., La, D., Bohn, A. J., Lee, P. S., Anderson, C. E., Nieusma, T., Holstein, C. A., Garcia, N. K., Hooper, K. A., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.3907 · Cited by 119 · see citing works
Self-citationPrinciples for designing ordered protein assemblies
Lai, Y., King, N. P., & Yeates, T. O. (2012) · Trends in Cell Biology · doi:10.1016/j.tcb.2012.08.004 · Cited by 132 · see citing works
Community-Wide Assessment of Protein-Interface Modeling Suggests Improvements to Design Methodology
Fleishman, S. J., Whitehead, T. A., Strauch, E., Corn, J. E., Qin, S., Zhou, H., Mitchell, J. C., Demerdash, O., Takeda‐Shitaka, M., Terashi, G., et al. (2011) · Journal of Molecular Biology · doi:10.1016/j.jmb.2011.09.031 · Cited by 132 · see citing works
Self-citationRenfrew, P. D., Choi, E. J., Bonneau, R., & Kuhlman, B. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032637 · Cited by 128 · see citing works
Rational Design of Topographical Helix Mimics as Potent Inhibitors of Protein–Protein Interactions
Lao, B. B., Drew, K., Guarracino, D. A., Brewer, T. F., Heindel, D. W., Bonneau, R., & Arora, P. S. (2014) · Journal of the American Chemical Society · doi:10.1021/ja502310r · Cited by 124 · see citing works
Protein Modeling: What Happened to the “Protein Structure Gap”?
Schwede, T. F. (2013) · Structure · doi:10.1016/j.str.2013.08.007 · Cited by 125 · see citing works
Santner, A. A., Croy, C. H., Vasanwala, F. H., Uversky, V. N., Van, Y.-Y. J., & Dunker, A. K. (2012) · Biochemistry · doi:10.1021/bi300653m · Cited by 122 · see citing works
Computational Design of an α-Gliadin Peptidase
Gordon, S. R., Stanley, E. J., Wolf, S., Toland, A. M. S., Wu, S. J., Hadidi, D. A., Mills, J. H., Baker, D. A., Pultz, I. S., & Siegel, J. B. (2012) · Journal of the American Chemical Society · doi:10.1021/ja3094795 · Cited by 122 · see citing works
Self-citationComputational design of environmental sensors for the potent opioid fentanyl
Bick, M. J., Greisen, P. J., Morey, K. J., Antunes, M. S., La, D., Sankaran, B., Reymond, L., Johnsson, K., Medford, J. I., & Baker, D. A. (2017) · eLife · doi:10.7554/elife.28909 · Cited by 116 · see citing works
Self-citationEmerging Antiviral Strategies to Interfere with Influenza Virus Entry
Vanderlinden, E., & Naesens, L. M. J. (2013) · Medicinal Research Reviews · doi:10.1002/med.21289 · Cited by 119 · see citing works
MutaBind estimates and interprets the effects of sequence variants on protein–protein interactions
Li, M., Simonetti, F. L., Goncearenco, A., & Panchenko, A. R. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw374 · Cited by 118 · see citing works
Targeting protein–protein interactions, a wide open field for drug design
Bakail, M., & Ochsenbein, F. (2016) · Comptes Rendus. Chimie · doi:10.1016/j.crci.2015.12.004 · Cited by 117 · see citing works
A new age in protein design empowered by deep learning
Khakzad, H., Igashov, I., Schneuing, A., Goverde, C. A., Bronstein, M. M., & Correia, B. E. (2023) · Cell Systems · doi:10.1016/j.cels.2023.10.006 · Cited by 113 · see citing works
Protein–protein binding affinity prediction on a diverse set of structures
Moal, I. H., Agius, R., & Bates, P. A. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr513 · Cited by 112 · see citing works
Metal-Mediated Affinity and Orientation Specificity in a Computationally Designed Protein Homodimer
Der, B. S., Machius, M., Miley, M. J., Mills, J., Szyperski, T., & Kuhlman, B. A. (2011) · Journal of the American Chemical Society · doi:10.1021/ja208015j · Cited by 112 · see citing works
Dreyfus, C., Ekiert, D. C., & Wilson, I. A. (2013) · Journal of Virology · doi:10.1128/jvi.02975-12 · Cited by 110 · see citing works
Self-citationLapidoth, G. D., Baran, D., Pszolla, G. M., Norn, C., Alon, A., Tyka, M. D., & Fleishman, S. J. (2015) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.24779 · Cited by 107 · see citing works
Self-citationRole of the Biomolecular Energy Gap in Protein Design, Structure, and Evolution
Fleishman, S. J., & Baker, D. A. (2012) · Cell · doi:10.1016/j.cell.2012.03.016 · Cited by 104 · see citing works
Self-citationRapid search for tertiary fragments reveals protein sequence–structure relationships
Zhou, J., & Grigoryan, G. (2014) · Protein Science · doi:10.1002/pro.2610 · Cited by 105 · see citing works
Jost, C., & Plückthun, A. (2014) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2014.05.011 · Cited by 105 · see citing works
Coordination chemistry in the ocean
Lu, Y. (2014) · Nature Chemistry · doi:10.1038/nchem.1880 · Cited by 104 · see citing works
- Authors
- Fleishman, S. J., Whitehead, T. A., Ekiert, D. C., Dreyfus, C., Corn, J. E., Strauch, E.-M., Wilson, I. A., & Baker, D.
- Affiliations
- University of Washington (US)
- Scripps Research Institute (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Fleishman, Sarel J.
- Whitehead, Timothy A.
- Ekiert, Damian C.
- Baker, David
- ORCID
- Venue
- Science
- Published
- 2011-05-13
- Volume
- 332
- Issue
- 6031
- Pages
- 816-821
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC3164876
- OpenAlex
- W2049275721
- Cited by
- 585
- References
- 20
- Citations by year
- 2026: 15 · 2025: 23 · 2024: 22 · 2023: 26 · 2022: 21 · 2021: 28 · 2020: 24 · 2019: 41 · 2018: 32 · 2017: 44 · 2016: 42 · 2015: 37 · 2014: 61 · 2013: 87 · 2012: 62
- FWCI
- 29.89
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Cancer Institute (Y1-CO-1020)
- National Institute of General Medical Sciences (Y1-GM-1104, GM080209, T32GM080209)
- National Institute of Allergy and Infectious Diseases (U54AI057141, P01AI058113, AI057141, AI058113)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Health Sciences › Medicine › Epidemiology › Influenza Virus Research Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- protein design, influenza hemagglutinin, affinity maturation
- MeSH terms
- Algorithms, Amino Acid Sequence, Binding Sites, Computer Simulation, Hydrogen Bonding, Hydrogen-Ion Concentration, Models, Molecular, Molecular Sequence Data, Mutation, Protein Binding, Protein Conformation, Proteins, Software, Protein Engineering, Protein Structure, Secondary, Peptide Library, Hemagglutinin Glycoproteins, Influenza Virus, Computational Biology, Protein Interaction Domains and Motifs, Hydrophobic and Hydrophilic Interactions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review