Robust deep learning–based protein sequence design using ProteinMPNN

Dauparas, J., Anishchenko, I., Bennett, N., Bai, H., Ragotte, R. J., Milles, L. F., Wicky, B. I. M., Courbet, A. +14 more·2022·Science

Cited by (2,090)

Items 801–900 of 2,090

  1. Development of AI-designed protein binders for detection and targeting of cancer cell surface proteins
    Bianca Broske, Sophie C. Binder, Benjamin A. McEnroe, Tim Noah Kempchen, Caroline I. Fandrey, Julia M. Messmer, Elisabeth Tan, Peter Konopka, Dominic Ferber, Michelle C.R. Yong et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  2. Adapting ProteinMPNN for antibody design without retraining
    Diego del Alamo, Rahel Frick, Daphné Truan, Joel D. Karpiak · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  3. Conditional Protein Structure Generation with Protpardelle-1c
    Tianyu Lu, Richard W. Shuai, Petr Kouba, Zhaoyang Li, Yilin Chen, Akio Shirali, Jinho Kim, Po‐Ssu Huang · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  4. A Generative Foundation Model for Antibody Design
    Rubo Wang, Fandi Wu, Jiale Shi, Yidong Song, Yu Kong, Jianhua Ma, Bing He, Qihong Yan, Tianlei Ying, Peilin Zhao et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  5. Geometric Tuning of Cytokine Receptor Association Modulates Synthetic Agonist Signaling
    Marc Expòsit, Mohamad H. Abedi, Aditya Krishnakumar, Shruti Jain, Ta-Yi Yu, Timothy R. Hercus, Divij Mathew, Sophie L. Gray-Gaillard, Zhijie Chen, William S. Grubbe et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  6. Inhibition of ice recrystallization with designed twistless helical repeat proteins
    de Haas, Robbert J., Pyles, Harley, Huddy, Evelyn B., van Ossenbruggen, Jannick, Zheng, Chuanbao, van den Broek, Daniëlle, Giezen, Sanne N., Carr, Ann, Bera, Asim K., Kang, Alex et al. · 2025 · Proceedings of the National Academy of Sciences
  7. Molecular Display of the Animal Meta-Venome for Discovery of Novel Therapeutic Peptides
    Hsiao, Meng-Hsuan, Miao, Yang, Liu, Zixing, Schütze, Konstantin, Limjunyawong, Nathachit, Chien, Daphne Chun-Che, Monteiro, Wayne Denis, Chu, Lee-Shin, Morgenlander, William, Jayaraman, Sahana et al. · 2025 · Molecular & Cellular Proteomics
  8. Limitations of the refolding pipeline for de novo protein design
    Korbeld, Kerlen T., Viliuga, Vsevolod, Fürst, Maximilian J. L. J. · 2026 · Protein Science
  9. Structure Prediction and Computational Protein Design for Efficient Biocatalysts and Bioactive Proteins
    Rebecca Buller, Jiřı́ Damborský, Donald Hilvert, Uwe T. Bornscheuer · 2024 · Angewandte Chemie
  10. Thermostable phospholipase C: A key to efficient and sustainable enzymatic oil degumming processes
    Diego S. Val, Luisina Di Nardo, Fiorela Marchisio, Franco Emanuel Lacava, Andrés Aguirre, Salvador Peirú, María Eugenia Castelli, Martín Espariz, Luciano A. Abriata, Hugo G. Menzella et al. · 2025 · Journal of the American Oil Chemists Society
  11. Computational Bioprospecting of Enzymes
    Ruite Xiang, Mireia Martinez-Sugrañes, Rubén Muñoz‐Tafalla, Martin Floor, Vı́ctor Guallar · 2025 · Wiley Interdisciplinary Reviews Computational Molecular Science
  12. Screening de novo designed protein binders in unpurified lysate using flow induced dispersion analysis
    Francisca Pinheiro, Jan Stanislaw Nowak, Elena Zueva, Emily C. Pheasant, Ida K. Grene, Vili Lampinen, Magnus Kjærgaard · 2025 · Protein Science
  13. Computational epitope profiling and AI-driven protein engineering enable rational design of multi-epitope vaccines against Mycobacterium tuberculosis
    Xinfeng Li, Xinyu Tao, Mingyue Zhong, Yiyao Wang, Heng Xue, Binda T. Andongma, Shan‐Ho Chou, Hongping Wei, Jin He, Hang Yang · 2025 · Computational and Structural Biotechnology Journal
  14. De Novo Design of High‐Affinity Miniprotein Binders Targeting Francisella Tularensis Virulence Factor
    Gizem Gokce Alpkilic, Buwei Huang, Andi Liu, Lieselotte S.M. Kreuk, Yaxi Wang, Victor Adebomi, Yensi Flores Bueso, Asim K. Bera, Alex Kang, Stacey Gerben et al. · 2025 · Angewandte Chemie International Edition
  15. Reimagining computational macromolecular modeling: AI-driven approaches
    E. Sıla Özdemir, Hyunbum Jang, Ruth Nussinov, Özlem Keskin, Attila Gürsoy · 2025 · Biophysical Journal
  16. Deep learning–driven protein binder design for crop improvement
    Muhammad Salman Iqbal, Revocatus Bahitwa, Abdul Ali Azam, Hui Xu, Hai Wang · 2025 · aBIOTECH
  17. Geometric deep learning assists protein engineering. Opportunities and Challenges
    Julián Alfonso García - Vinuesa, Jorge Alejandro Rojas, Nicole Soto-García, Nicolás Martínez, Diego Álvarez-Saravia, Roberto Uribe-Paredes, Mehdi D. Davari, Carlos Conca, Juan A. Asenjo, David Medina-Ortiz · 2025 · Biotechnology Advances
  18. A comprehensive survey on artificial intelligence for biomolecule design
    Guang Yang, Jianing Li, Qiong Wang, Lianlian Wu, Zhengshan Chen, Peng-Cheng Zhao, Haoyang Wang, Qinglong Wang, Bing Wen, Chao Song et al. · 2026 · The Innovation Life
  19. Deep learning-guided engineering of pectinase for enhanced catalytic performance in tobacco processing
    Xueao Zheng, Tengfei Liu, Xiaozhan Qu, Zeping Sun, Xinyu Zhao, Yalong Xu, Chen Wang, Cunxi Wang, Peijian Cao, Qiansi Chen · 2026 · Bioresource Technology
  20. CyclicMPNN: stable cyclic peptide sequence generation
    Andrew C. Powers, Yanapat Janthana, Parisa Hosseinzadeh · 2026 · Digital Discovery
  21. Artificial intelligence in biologic drug discovery: A review of methodological evolution and therapeutic applications
    Jianxin Tang, Daohong Gong, Honglin Li, Shiliang Li · 2026 · Acta Pharmaceutica Sinica B
  22. Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery
    Jianxiu Cai, Xinpo Lou, Chak Fong Chong, Deepa Alex, Joel Perdiz Arrais, Yapeng Wang, Shirley W. I. Siu · 2026 · Bioresources and Bioprocessing
  23. Discovery of High-Affinity Glutamine-Derived Peptides from Wheat Gliadin Targeting CaSR: a Computational Approach Integrating Deep Learning and Molecular Dynamics
    Tianfei Yu, Tianshuo Hu, Kai Na, Qian Lin, Shujing Chen, Hua Xie, Miao Yu, Li Zhang, Xiaohua Guo · 2026 · Journal of Agricultural and Food Chemistry
  24. Mesostructured Water Enhances Stability of ProteinMPNN-Designed Ubiquitin-Fold Proteins
    Lu-Yi Chen, Wei-Lin Lu, Tanvi Pathania, I-Hsuan Chu, Meng‐Ru Ho, Wei-Chen Chuang, Yuan‐Chao Lou, Ta I Hung, Yohei Miyanoiri, Chia‐en A. Chang et al. · 2026 · Journal of the American Chemical Society
  25. Rational protein design
    Joel J. Chubb, Aimee L. Boyle, Katherine I. Albanese · 2026 · Current Opinion in Structural Biology
  26. Generative AI for synthetic biology: Designing biological parts, circuits, and genomes
    Nayoung Kim, Giuliano De Carluccio, Kehan Zhang, James J. Collins · 2026 · Cell Systems
  27. Bioinformatic and computational biophysics tools for nanopore engineering: a review from standard approaches to machine learning advancements
    Marco Reccia, Francesco Quilli, Kherim Willems, Blasco Morozzo della Rocca, Domenico Raimondo, Mauro Chinappi · 2026 · Journal of Nanobiotechnology
  28. A Comparative Review of Artificial Intelligence Applications in Small Molecule Versus Peptide Drug Discovery
    Han Lin, Horst Vogel, Huawei Zhang · 2026 · International Journal of Molecular Sciences
  29. AI-Designed Peptides as Tools for Biochemistry
    Lauren Hong, Sophia Vincoff, Pranam Chatterjee · 2026 · Biochemistry
  30. Rapid customization of base editors via machine learning-powered combinatorial mutagenesis
    Jiaxing Peng, Don C.T. Chan, Hoi Yee Chu, John H.C. Fong, Yin Kau Lam, Maggie S.H. Cheung, Wing Leung, Gigi C.G. Choi, Alan S.L. Wong · 2026 · Molecular Cell
  31. TMPRSS2-mediated coronavirus spike activation and inhibition
    Matthew McCallum, James Brett Case, Jack T Brown, Young‐Jun Park, Jimin Lee, Emmajay Sutherland, Anupriya Aggarwal, Cecily A. Gibson, Florian A. Lempp, Cameron Stewart et al. · 2026 · Nature Structural & Molecular Biology
  32. Toward life with a 19–amino acid alphabet through generative artificial intelligence design
    Liyuan Liu, Charlotte Rochereau, Simon Kozlov, Guillaume Urtecho, Xiaonan Liu, Jiahui Zhao, Jasmine Wang, Yiming Huang, Yiming Qu, Zetian Zhang et al. · 2026 · Science
  33. The latest AI breakthroughs in structural biology: protein binder design and conformational state prediction
    Luciano A. Abriata · 2026 · Communications Biology
  34. De Novo Design of Miniature and Efficient Metallo-Ketoreductases
    Y Xu, Yunhao Li, Hangwen Zheng, Elliot S. Delfosse, Y. N. Gao, David A. Baker, Pengfei Ji · 2026 · Journal of the American Chemical Society
  35. Artificial intelligence tools for enzyme engineering and metabolic engineering
    Michael Volk, Vishal Kaushik Pillalamarri, Ruihan Guo, Ge Liu, Huimin Zhao · 2026 · Current Opinion in Biotechnology
  36. Structure-based engineering of Tor complexes reveals that two types of yeast TORC1 produce distinct phenotypes
    Kamada, Yoshiaki, Umeda, Chiharu, Mukai, Yukio, Ohtsuka, Hokuto, Otsubo, Yoko, Yamashita, Akira, Kosugi, Takahiro · 2024 · Journal of Cell Science
  37. Building tailor-made bioenergetic proteins and circuits from de novo redox proteins
    Benjamin J. Hardy, Ethan L. Bungay, Cam Mellor, Paul Curnow, J. L. Ross Anderson · 2024 · Current Opinion in Electrochemistry
  38. Thermostable WW-Domain Scaffold to Design Functional β-Sheet Miniproteins
    Christina Lindner, Anke Friemel, Niklas Schwegler, Lisa Timmermann, Truc Lam Pham, Vanessa Reusche, Michael Kovermann, Franziska Thomas · 2024 · Journal of the American Chemical Society
  39. Reliability-Based Robust Design Optimization with Fourth-Moment Method for Ball Bearing Wear
    Yanzhong Wang, E Shiyuan, Kai Yang, Bin Xie, Fengxia Lu · 2024 · Lubricants
  40. How the technologies behind self‐driving cars, social networks, ChatGPT, and DALL‐E2 are changing structural biology
    Matthias Bochtler · 2024 · BioEssays
  41. Rapid prediction of key residues for foldability by machine learning model enables the design of highly functional libraries with hyperstable constrained peptide scaffolds
    Fei Cai, Yuehua Wei, Daniel Kirchhofer, Andrew C. Chang, Yingnan Zhang · 2024 · PLoS Computational Biology
  42. Jointly Embedding Protein Structures and Sequences through Residue Level Alignment
    Foster Birnbaum, Saachi Jain, Aleksander Mądry, Amy E. Keating · 2024 · PRX Life
  43. Stabilized designs of the malaria adhesin protein PvRBP2b for use as a potential diagnostic for Plasmodium vivax
    Jaison D Sa, Lucas Krauss, Lauren Smith, Laura D’Andrea, Li‐Jin Chan, Anju Abraham, Nicholas Kiernan‐Walker, Ramin Mazhari, Macie Lamont, Pailene S. Lim et al. · 2025 · Journal of Biological Chemistry
  44. Heuristic energy-based cyclic peptide design
    Qiyao Zhu, Vikram Khipple Mulligan, Dennis E. Shasha · 2025 · PLoS Computational Biology
  45. MTPSol: Multimodal Twin Protein Solubility Prediction Architecture Based on Pretrained Models
    Yuan Gao, Hongkui Wang, Landong Zhang, Fufeng Liu, Jiahai Zhou, Yang Gu · 2025 · Journal of Chemical Information and Modeling
  46. Progress toward new function and design of extracellular G protein-coupled receptor nanobodies
    Roman R. Schlimgen, Brian F. Volkman · 2025 · Molecular Pharmacology
  47. Structure-guided engineering of snake toxins for selective modulation of adrenergic and muscarinic receptors
    Yixuan Zhong, Huihui Tao, Yu Zhang, Binbin He, Haizhan Jiao, Dandan Wang, Maikun Teng, Hongli Hu, Qiong Guo, Yuyong Tao · 2025 · Nature Communications
  48. Advances of computational protein design: Principles, strategies and applications in nutrition and health
    Ziling Zhao, Qian Qu, Fuwei Sun, Jiachen Zang, Bowen Zheng, Tuo Zhang, Guanghua Zhao, Chenyan Lv, Zhongjiang Wang · 2025 · Biotechnology Advances
  49. Artificial intelligence-enabled cellular Agriculture: Multiscale modeling, process optimization, and future directions
    Wenli Gao, Runnan Bai, Shengjie Ling · 2025 · Trends in Food Science & Technology
  50. Therapeutic Antibodies for Infectious Diseases: Recent Past, Present, and Future
    Sriram Subramaniam, James W. Saville, Frank Feng, Lee A. Freiburger · 2025 · Biochemistry
  51. Resolution of physics and deep learning-based protein engineering filters: A case study with a lipase for industrial substrate hydrolysis
    Spencer Gardiner, Peter Dollinger, Filip Kovačić, Jörg Pietruszka, Daniel H. Ess, Karl‐Erich Jaeger, G.F. Schroeder, Dennis Della Corte · 2025 · PLoS ONE
  52. ALLM-Ab: Active Learning-Driven Antibody Optimization Using Fine-Tuned Protein Language Models
    Kairi Furui, Masahito Ohue · 2025 · Journal of Chemical Information and Modeling
  53. Customizing the structure of minimal TIM barrels to craft efficient de novo enzymes
    Julian Beck, B. J. Smith, Mark Kriegel, Niayesh Zarifi, Emily Freund, Ahana G. Harsha, Jan Hartmann, Roberto A. Chica, Birte Höcker · 2026 · Nature Chemical Biology
  54. Guiding protein design choices by per-residue energy breakdown analysis with an interactive web application
    Felipe Engelberger, Jonathan D. Zakary, Georg Künze · 2023 · Frontiers in Molecular Biosciences
  55. Protein sequence design on given backbones with deep learning
    Yufeng Liu, Haiyan Liu · 2023 · Protein Engineering Design and Selection
  56. DIProT: A deep learning based interactive toolkit for efficient and effective Protein design
    Jieling He, Wenxu Wu, Xiaowo Wang · 2024 · Synthetic and Systems Biotechnology
  57. The Damietta Server: a comprehensive protein design toolkit
    Iwan Grin, Kateryna Maksymenko, Tobias Woertwein, Mohammad ElGamacy · 2024 · Nucleic Acids Research
  58. Constraint Decoupled Latent Diffusion for Protein Backmapping
    Xu Han, Yuancheng Sun, Kai Chen, Yuxuan Ren, Kang Liu, Qiwei Ye · 2025 · Journal of Chemical Theory and Computation
  59. PepCARES: A Comprehensive Advanced Refinement and Evaluation System for Peptide Design and Affinity Screening
    Wen Xu, Zhipeng Wu, Chengyun Zhang, Cheng Zhu, Hongliang Duan · 2024 · ACS Omega
  60. CCPL: Cross-Modal Contrastive Protein Learning
    Jiangbin Zheng, Stan Ziqing Li · 2024 · Lecture notes in computer science
  61. Sequence-free landscape inference for directed evolution
    Sebastian Towers, Jessica James, Harrison Steel, Idris Kempf · 2026 · PLoS Computational Biology
  62. Molecular Modeling of Self-Assembling Peptides
    Stephen J. Jones, Alberto Pérez · 2023 · ACS Applied Bio Materials
  63. ZetaDesign: an end-to-end deep learning method for protein sequence design and side-chain packing
    Junyu Yan, Shuai Li, Ying Zhang, Aimin Hao, Qinping Zhao · 2023 · Briefings in Bioinformatics
  64. A cellular selection identifies elongated flavodoxins that support electron transfer to sulfite reductase
    Albert Truong, Dru Myerscough, Ian J. Campbell, Joshua T. Atkinson, Jonathan J. Silberg · 2023 · Protein Science
  65. Modeling Protein Structure Using Geometric Vector Field Networks
    Weian Mao, Muzhi Zhu, Hao Chen, Chunhua Shen · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  66. Thermodynamic Stabilization of Human Frataxin
    Reyes Núñez‐Franco, Ángel Torres-Mozas, Claudio D. Navo, Andreas Schedlbauer, Mikel Azkargorta, Ibón Iloro, Félix Elortza, Gabriel Ortega, Óscar Millet, Francesca Peccati et al. · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  67. Protein Language Model Supervised Precise and Efficient Protein Backbone Design Method
    Bo Zhang, Kexin Liu, Zhuoqi Zheng, Yunfeiyang Liu, Junxi Mu, Ting Wei, Haifeng Chen · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  68. ProteinMPNN Recovers Complex Sequence Properties of Transmembrane β-barrels
    Marissa Dolorfino, Rituparna Samanta, Anastassia Andreevna Vorobieva · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  69. Designing symmetrical multi-component proteins using a hybrid generative AI approach
    Delphine Dessaux, Samuel Buchet, Lucie Barthe, Marianne Defresne, Gianluca Cioci, Simon de Givry, Luis Fernando Garcia-Alles, Thomas Schiex, Sophie Barbe · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  70. Application of RFdiffusion to predict interspecies protein-protein interactions between fungal pathogens and cereal crops
    Olivia C. Haley, Stephen F. Harding, Taner Z. Sen, Margaret Roth Woodhouse, Hye-Seon Kim, Carson M. Andorf · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  71. Controllable All-Atom Protein Generation with Latent Diffusion
    Amy X. Lu, Jason Yang, Yueming Long, Theophile Lambert, Wilson Yan, Sarah A. Robinson, Kevin Yang, Vladimir Gligorijević, Kyunghyun Cho, Richard Bonneau et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  72. Precise, Specific, and Sensitive De Novo Antibody Design Across Multiple Cases
    Yewon Bang, Hyeonjin Cha, Kyesoo Cho, Jeonghyeon Gu, Daehyeon Gwak, Young-Hyun Han, Mirim Hong, Suyeon Kang, Sohee Kwon, Changsoo Lee et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  73. In-Silico Stability Predictors: Investigation of Performance Towards balanced Experimental Data
    Kristine Degn, Mattia Utichi, Pablo Sánchez-Izquierdo Besora, Matteo Tiberti, Elena Papaleo · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  74. LuxSit Pro and sPro: Next-Generation Designed Luciferases for Bioluminescent Reporting and Complementation-Based Detection
    Renan Vergara, Jonathan Wagner, Paursa Kamalian, Joseph L. Harman, Nicholas Lara, Elyse S. Fischer, Gonçalo J. L. Bernardes, Alfredo Quijano‐Rubio, Daniel‐Adriano Silva · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  75. Multiplex design and discovery of proximity handles for programmable proteome editing
    Chase C. Suiter, Green Ahn, Melodie Chiu, Yi Fu, Shayan Sadre, Jessica J. Simon, David S. Lee, Douglas M. Fowler, Dustin J. Maly, David A. Baker et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  76. High-Throughput De Novo Protein Design Yields Novel Immunomodulatory Agonists
    Mohamad H. Abedi, Marc Expòsit, Brian Coventry, Divij Mathew, Shruti Jain, Aditya Krishnakumar, Inna Goreshnik, Sophie L. Gray-Gaillard, Margaret C. Lunn-Halbert, Ta-Yi Yu et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  77. Ancient amino acid sets enable stable protein folds
    Valerio Guido Giacobelli, S. Andersson, Pavel Srb, Tereza Neuwirthová, Z. Ruszová, J. Marhoul, S. Pšenička, A. Knetl, Lucie Bednářová, Václav Veverka et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  78. Accurate protein stability prediction for small domains using mega-scale experiments
    Yehlin Cho, Kotaro Tsuboyama, Theodore J. Litberg, Michelle Jung, Adunoluwa Obisesan, Qian Wang, Claire M. Phoumyvong, Jane Thibeault, Sergey Ovchinnikov, Gabriel J. Rocklin · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  79. Inherent limitations of zero-shot mutation prediction in protein engineering
    Phillip R. Woolley, Aaron L. Feller, Andrew D. Ellington, Claus O. Wilke · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  80. Latent generative search unlocks de novo design of untapped biomolecular interactions at scale
    Kieran Didi, Danny Reidenbach, Matthew Penner, Supriya Ravichandran, Marshall Case, Mike Nichols, Erik Swanson, Alex Reis, Maggie Prescott, Yue Hong Qian et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  81. A <i>De Novo</i> Designed Protein with Versatile Metal Binding and Tunable Hydrolytic Activity
    Hoffnagle, Alexander M., Srisantitham, Suppachai, Neeley, Maximilian, Tsai, Chia-Ying, Tezcan, F. Akif · 2025 · Biochemistry
  82. Artificial intelligence and first‐principle methods in protein redesign: A marriage of convenience?
    Cianferoni, Damiano, Vizarraga, David, Fernández‐Escamilla, Ana María, Fita, Ignacio, Hamdani, Rahma, Reche, Raul, Delgado, Javier, Serrano, Luis · 2025 · Protein Science
  83. Self-assembling protein cages: from coiled-coil module to machine learning-driven de novo design of next-generation biomaterials
    Arvind Kumar Gupta, Hana Esih, Helena Gradišar, Roman Jerala · 2025 · Materials Advances
  84. Artificial Friedel–Crafts Alkylase Design With Genetic Incorporated Unnatural S‐(3‐aminophenyl)‐Cysteine
    Yuhui Sheng, Yuting Bai, Yi Fu, Jie Lei, Zhi Zhou · 2026 · ChemCatChem
  85. Progress in structure prediction and design of adaptive immune receptors
    Tomer Cohen, Tanya Hochner, Dina Schneidman‐Duhovny · 2026 · Current Opinion in Structural Biology
  86. Flat Solenoidal Ice‐Binding Proteins as Scaffolds for Solid‐Binders
    Robbert J. de Haas, Jannick van Ossenbruggen, Jeffrey van der Hoeven, Roel J. Timmermans, Roderick P. Tas, Ilja Karina Voets, Renko J. de Vries · 2023 · Advanced Materials Interfaces
  87. Spiers Memorial Lecture: Engineering biocatalysts
    Donald Hilvert · 2024 · Faraday Discussions
  88. Artificial design of the genome: from sequences to the 3D structure of chromosomes
    Junyi Wang, Ze‐Xiong Xie, You‐Zhi Cui, Bingzhi Li, Ying‐Jin Yuan · 2024 · Trends in biotechnology
  89. De Novo Design of Large Polypeptides Using a Lightweight Diffusion Model Integrating LSTM and Attention Mechanism Under Per-Residue Secondary Structure Constraints
    Sisheng Liao, Gang Xu, Jin Li, Jianpeng Ma · 2025 · Molecules
  90. Update: Enzymatische Synthese für industrielle Anwendungen
    Thomas Bayer, Shuke Wu, Radka Šnajdrová, Kai Baldenius, Uwe T. Bornscheuer · 2025 · Angewandte Chemie
  91. A self-assembled protein β-helix as a self-contained biofunctional motif
    Camilla Dondi, Javier Garcia-Ruiz, Erol A. Hasan, Stephanie A. Rey, James E. Noble, Alex Hoose, Andrea Briones, Ibolya E. Kepiro, Nilofar Faruqui, Purnank Aggarwal et al. · 2025 · Nature Communications
  92. Stage-specific transcriptomic analysis reveals insights into the development, reproduction and biological function of allergens in the European house dust mite Dermatophagoides pteronyssinus
    José Cristian Vidal‐Quist, Félix Ortego, Bart N. Lambrecht, Stéphane Rombauts, Pedro Hernández‐Crespo · 2025 · BMC Genomics
  93. Structural Enzymology, Phylogenetics, Differentiation, and Symbolic Reflexivity at the Dawn of Biology
    Charles W. Carter, Guo Qing Tang, Sourav Kumar Patra, Henry Dieckhaus, Brian A. Kuhlman, Jordan Douglas, Peter R. Wills, Remco Bouckaert, Milena Popović, Mark Adam Ditzler · 2025 · Genome Biology and Evolution
  94. Bio-Inspired and Protein-Based Elastomeric Materials
    Xiaodong Han, Juanjuan Su, Jinɡjinɡ Li, Hongjie Zhang, Kai Liu · 2025 · Polymer science & technology.
  95. Fast uncovering of protein sequence diversity from structure*
    Luca Alessandro Silva, Barthelemy Meynard-Piganeau, Carlo Lucibello, Christoph Feinauer · 2025 · Journal of Statistical Mechanics Theory and Experiment
  96. De Novo Design of Specific Heterotrimeric Collagen‐Like Peptides via Genetic Algorithm
    Thi H. Bui, Oluwakamisi Adetunji, Carson C. Cole, Le Tracy Yu, Caroline M. Peterson, Jeffrey D. Hartgerink · 2025 · Advanced Science
  97. A message passing framework for precise cell state identification with scClassify2
    Wenze Ding, Yue Cao, Xiaohang Fu, Marni Torkel, Jean Yee Hwa Yang · 2025 · Genome biology
  98. Simplifying protein engineering with deep learning
    Kevin Yang, Ava P. Amini · 2025 · Cell
  99. Synthetically designed anti-defense proteins overcome barriers to bacterial transformation and phage infection
    Jeremy Garb, David William Adams, Eliane Hadas Yardeni, Melanie Blokesch, Rotem Sorek · 2026 · Nature Communications
  100. HitScreen: A Sequence-Based Drug Virtual Screening Approach Using Data Augmentation and Protein Language Models
    Geng Chen, Jinbiao Liao, Yanzhen Yu, Kaixin Le, Hui Zhao, Yiyang Qin, Lvtao Cai, Rong Sheng · 2025 · Journal of Chemical Information and Modeling