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Progress in Modeling of Protein Structures and Interactions.
Abstract
The prediction of the structures and interactions of biological macromolecules at the atomic level and the design of new structures and interactions are critical tests of our understanding of the interatomic interactions that underlie molecular biology. Equally important, the capability to accurately predict and design macromolecular structures and interactions would streamline the interpretation of genome sequence information and allow the creation of macromolecules with new and useful functions. This review summarizes recent progress in modeling that suggests that we are entering an era in which high-resolution prediction and design will make increasingly important contributions to biology and medicine.
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“Only recently it has been realized that proteins are not random heteropolymers but their sequences are formed following a tentative design (for a review see [39], [40]).”
From Lethal mutants and truncated selection together solve a paradox of the origin of life (2011) · cites this paper as [40]
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Structure‐guided forcefield optimization
Song, Y., Tyka, M. D., Leaver‐Fay, A., Thompson, J., & Baker, D. A. (2011) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.23013 · Cited by 49
Self-citationYu, C.-M., Peng, H., Chen, I.-C., Lee, Y., Chen, J.-B., Tsai, K., Chen, C.-T., Chang, J.-Y., Yang, E.-W., Hsu, P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033340 · Cited by 48
“Nevertheless, the accuracy of current energetic functions [7,12,13,14,15,16,17] has been a formidable barrier [18].”
BackgroundShaw, W. J. (2012) · Catalysis Reviews · doi:10.1080/01614940.2012.679453 · Cited by 48
Protein folding prediction in 3D FCC HP lattice model using genetic algorithm
Hoque, M. T., Chetty, M., & Sattar, A. (2007) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2007.4425011 · Cited by 47
A Guide to Template Based Structure Prediction
Qu, X., Swanson, R., Day, R., & Tsai, J. W. (2009) · Current Protein and Peptide Science · doi:10.2174/138920309788452182 · Cited by 47
Quantum Chemistry Simulation of Biological Molecules
Albuquerque, E. L., Fulco, U. L., Caetano, E. W. S., & Freire, V. N. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108774956 · Cited by 46
Extended HP Model for Protein Structure Prediction
Hoque, M. T., Chetty, M., & Sattar, A. (2009) · Journal of Computational Biology · doi:10.1089/cmb.2008.0082 · Cited by 47
“The usefulness of the low-resolution modeling for solving the ab initio PSP problem in practice can be found elsewhere (Baker, 2006; Chivian et al., 2003; Samudrala et al., 1999; Hinds and Levitt, 1994; Koehl and Levitt, 1999; Kolinski et al., 2003; Schueler-Furman et al., 2005; Xia et al., 2000).”
Kmiecik, S., Gront, D., & Koliński, A. (2007) · BMC Structural Biology · doi:10.1186/1472-6807-7-43 · Cited by 46
“Background Reliable high-resolution prediction of protein structure remains a formidable challenge and it becomes more and more evident that we are entering the era in which highresolution predictions and molecular designs will make increasingly important contributions to biology and medicine [1,2].”
Han, W., & Wu, Y. (2007) · Journal of Chemical Theory and Computation · doi:10.1021/ct700151x · Cited by 47
Metadata
- Authors
- Schueler-Furman, O., Wang, C., Bradley, P., Misura, K., & Baker, D.
- Affiliations
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
- Howard Hughes Medical Institute (US)
- Corresponding author
- Baker, David
- Venue
- Science
- Published
- 2005-10-28
- Volume
- 310
- Issue
- 5748
- Pages
- 638-642
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2147752484
- Cited by
- 294
- References
- 65
- Citations by year
- 2025: 4 · 2024: 4 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 5 · 2019: 8 · 2018: 2 · 2017: 8 · 2016: 9 · 2015: 9 · 2014: 8 · 2013: 10 · 2012: 16
- FWCI
- 3.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Keywords
- protein structure prediction, protein-protein interaction, interatomic interactions, genome interpretation
- MeSH terms
- Computer Simulation, Computing Methodologies, Models, Molecular, Protein Conformation
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