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 601–700 of 2,090
- Adversarial Sequence Mutations in AlphaFold and ESMFold Reveal Nonphysical Structural Invariance, Confidence Failures, and Concerns for Protein DesignJonathan Feldman, Maximilian Brogi, Jeffrey Skolnick · 2026 · Computational and Structural Biotechnology Journal
- Sequence and structural determinants of efficacious de novo chimaeric antigen receptorsArthur Chow, Hoyin Chu, Ruofan Li, Benan N. Nalbant, Abdul Vehab Dozic, Laura C. Kida, Zeyu Tang, Joseph R. Palmeri, Caleb A. Lareau · 2026 · Nature Biomedical Engineering
- Computational protein design with data‐driven approaches: Recent developments and perspectivesHaiyan Liu, Quan Chen · 2022 · Wiley Interdisciplinary Reviews Computational Molecular Science
- Funneling modulatory peptide design with generative models: Discovery and characterization of disruptors of calcineurin protein-protein interactionsJérôme Tubiana, Lucia Adriana Lifshits, Michael Nissan, Matan Gabay, Inbal Sher, Marina Sova, Haim J. Wolfson, Maayan Gal · 2023 · PLoS Computational Biology
- The effects of nature‐inspired amino acid substitutions on structural and biochemical properties of the E. coli L ‐asparaginase EcAIIIMaciej Janicki, Anna Ściuk, Andrzej Zieleziński, Milosz Ruszkowski, Agnieszka Ludwików, Wojciech Maciej Karlowski, Mariusz Jaskólski, Joanna I. Loch · 2023 · Protein Science
- Artificial intelligence in systems biologyAbhijit Dasgupta, Rajat Kumar De · 2023 · Handbook of statistics
- Computational de novo protein design: From secondary to primary, then toward tertiary structuresLijun Quan, Tingfang Wu, Qiang Lyu · 2023 · Chem
- A probabilistic view of protein stability, conformational specificity, and designStern, Jacob A., Free, Tyler J., Stern, Kimberlee L., Gardiner, Spencer, Dalley, Nicholas A., Bundy, Bradley C., Price, Joshua L., Wingate, David, Della Corte, Dennis · 2023 · Scientific Reports
- Coherent Blending of Biophysics-Based Knowledge with Bayesian Neural Networks for Robust Protein Property PredictionHunter M. Nisonoff, Zhaoran Wang, Jennifer Listgarten · 2023 · ACS Synthetic Biology
- Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive ReviewJingjing Wang, Chang Chen, Ge Yao, Junjie Ding, Liangliang Wang, Hui Jiang · 2023 · Molecules
- Preorganized cyclic modules facilitate the self-assembly of protein nanostructuresJaka Snoj, Fabio Lapenta, Roman Jerala · 2024 · Chemical Science
- Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody DesignerCheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Ziqing Li · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
- All‐Atom Protein Sequence Design Based on Geometric Deep LearningLiu, Jiale, Guo, Zheng, You, Hantian, Zhang, Changsheng, Lai, Luhua · 2024 · Angewandte Chemie International Edition
- gRNAde: A Geometric Deep Learning Pipeline for 3D RNA Inverse DesignChaitanya K. Joshi, Píetro Lió · 2024 · Methods in molecular biology
- TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein EngineeringYiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Píetro Lió, Yu Guang Wang · 2024 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- One-step antifouling coating of polystyrene using engineered polypeptidesChuanbao Zheng, Zohaib Hussain, Chang Chen, Robbert Jan de Haas, Siddharth Deshpande, Zhisen Zhang, Han T. Zuilhof, Renko J. de Vries · 2025 · Journal of Colloid and Interface Science
- Scientists are using AI to dream up revolutionary new proteinsEwen Callaway · 2022 · Nature
- Unexplored regions of the protein sequence-structure map revealed at scale by a library of foldtuned language modelsArjuna M. Subramanian, Zachary A. Martinez, Alec L. Lourenço, Sonia C. Yuan, Shichen Liu, Ting-Yu Wang, Tsui‐Fen Chou, Matt Thomson · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
- Design of High Affinity Binders to Convex Protein Target SitesDavid A. Baker, Wei Yang, Derrick R. Hicks, Agnidipta Ghosh, Tristin A. Schwartze, Brian Coventry, Inna Goreshnik, Aza Allen, Samer F. Halabiya, ChanJohng Kim et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
- Designing novel solenoid proteins with in silico evolution2025
- Invariant point message passing for protein side chain packing2024
- Empirical validation of ProteinMPNN’s efficiency in enhancing protein fitnessTianshu Wang, Xiaocheng Jin, Xiaoli Lu, Xiaoping Min, Shengxiang Ge, Shaowei Li · 2024 · Frontiers in Genetics
- Hybrid Diffusion Model for Stable, Affinity-Driven, Receptor-Aware Peptide GenerationVishva Saravanan R, Soham Choudhuri, Bhaswar Ghosh · 2024 · Journal of Chemical Information and Modeling
- Inventing Novel Protein FoldsNobuyasu Koga, Rie Koga · 2024 · Journal of Molecular Biology
- Exploring the potential of structure-based deep learning approaches for T cell receptor designHelder Veras Ribeiro Filho, Gabriel Ernesto Jara, João Victor da Silva Guerra, Melyssa Cheung, Nathaniel R. Felbinger, José Geraldo de Carvalho Pereira, Brian G. Pierce, Paulo Sérgio Lopes de Oliveira · 2024 · PLoS Computational Biology
- Enhancing privacy in biosecurity with watermarked protein designYanshuo Chen, Zhengmian Hu, Yihan Wu, Ruibo Chen, Yongrui Jin, Marcus Zhan, Chengjin Xie, Wei Chen, Heng Huang · 2025 · Bioinformatics
- Grafted Coiled-Coil Peptides as Multivalent Scaffolds for Protein RecognitionAmanda M. Acevedo‐Jake, Bram Mylemans, Danielle F. Kay, Peiyu Zhang, Bogusława Korona, Guto G. Rhys, Aneika C. Leney, Danny T. C. Huang, Thomas A. Edwards, Laura S. Itzhaki et al. · 2025 · ACS Chemical Biology
- A Peptide-Based PROTAC Degrader of BRCA2 Sensitizes Metastatic Castration-Resistant Prostate Cancer to PARP InhibitionQi Ye, Bohan Ma, Lei Li, Zixi Wang, Mingming Lu, Jialu Kang, Yuzeshi Lei, Shan Xu, Ke Wang, Yanlin Jian et al. · 2025 · Cancer Research
- Machine learning-driven innovation design of clustered tensegrity continuum robotXincui Shi, Qi Yang, Kaiwen Hu, Binbin Lian, Yimin Song, Rongjie Kang, Tao Sun · 2025 · Mechanism and Machine Theory
- Innovations in Yeast Synthetic Biology: Engineered Discovery Systems for ImmunotherapyEthan W Slaton, Natalie Clay, Nathan Phan, Blaise R. Kimmel · 2025 · ACS Synthetic Biology
- Ancestral Sequence Reconstruction to Accelerate Non-heme Iron-dependent Biocatalyst EngineeringJosé R. Hernández-Meléndez, Alexandra E. Paton, Jonathan C. Perkins, Di Yang, Chang-Hwa Chiang, Alison R. H. Narayan · 2025 · ACS Central Science
- AI-Guided Hydrophobic Core Design of Robust Six-Helix Bundle ProteinsYinying Meng, Guojin Tang, Ruishi Wang, Bin Zheng, Yuanhao Liu, Hantian Zhang, Peng Zheng · 2025 · ACS Nano
- De Novo Design of a Metalloprotein with a Synthetically Inspired Dinuclear Paddlewheel Coordination MotifAlexander M. Hoffnagle, Ryan A. Herold, Chia-Ying Tsai, Angela A. Shiau, R. David Britt, F. Akif Tezcan · 2025 · Journal of the American Chemical Society
- Enhancing functional proteins through multimodal inverse folding with ABACUS-TYufeng Liu, Rui Wu, Xinyu Wang, Sheng Wang, Ling-Hui Chen, Fudong Li, Quan Chen, Haiyan Liu · 2025 · Nature Communications
- Building an expanded bio-based economy through synthetic biologyAndrea M. Garza Elizondo, Ilenne Del Valle, Erica Teixeira Prates, Evan Komp, Elise K. Phillips, Nandhini Ashok, Daniel Jacobson, Erin Webb, Yannick J. Bomble, William G. Alexander et al. · 2025 · Biotechnology Advances
- Harnessing deep learning to accelerate the development of antibodies and aptamersPan Tan, Song Li, Jin Huang, Ziyi Zhou, Liang Hong · 2025 · Acta Pharmaceutica Sinica B
- Deep learning-driven protein structure prediction and design: Key model developments by Nobel laureates and multi-domain applicationsWanqing Yang, Yanwei Wang, Yang Wang · 2026 · Biophysics Reviews
- Protein structure prediction powered by artificial intelligence: from biochemical foundations to practical applicationsTianxiang Yin, Yunxuan Chen, Yuhang Wang, Hui Su, Chengxu Duan, Jingrui Liu · 2026 · Frontiers in Molecular Biosciences
- De novo enzyme design: Controlling structure to design functionDina Listov, Sarel Jacob Fleishman · 2026 · Current Opinion in Structural Biology
- Maize protein structure resources at the maize genetics and genomics databaseMargaret Roth Woodhouse, John L. Portwood, Shatabdi Sen, Rita K. Hayford, Jack M. Gardiner, Ethalinda K. S. Cannon, Lisa C. Harper, Carson M. Andorf · 2023 · Genetics
- Bioinformatics-aided Protein Sequence Analysis and EngineeringWei Zhang, Tianwen Wang · 2023 · Current Protein and Peptide Science
- Engineering of Therapeutic and Detoxifying EnzymesFreideriki Michailidou · 2023 · Angewandte Chemie International Edition
- Growing ecosystem of deep learning methods for modeling protein–protein interactionsJulia R. Rogers, Gergő Nikolényi, Mohammed AlQuraishi · 2023 · Protein Engineering Design and Selection
- Multi-indicator comparative evaluation for deep learning-based protein sequence design methodsJinyu Yu, Junxi Mu, Ting Wei, Haifeng Chen · 2024 · Bioinformatics
- Carving out a Glycoside Hydrolase Active Site for Incorporation into a New Protein Scaffold Using Deep Network HallucinationAnders Lønstrup Hansen, Frederik Friis Theisen, Ramón Crehuet, Enrique Marcos, N. Aghajari, Martin Willemoës · 2024 · ACS Synthetic Biology
- Modeling membrane geometries implicitly in RosettaWoods, Hope, Leman, Julia Koehler, Meiler, Jens · 2024 · Protein Science
- Generating mutants of monotone affinity towards stronger protein complexes through adversarial learningTian Lan, Shuquan Su, Pengyao Ping, György Hutvágner, Tao Liu, Yi Feng Pan, Jinyan Li · 2024 · Nature Machine Intelligence
- Computational tools for plant genomics and breedingHai Wang, Mengjiao Chen, Xin Wei, Rui Xia, Dong Pei, Xuehui Huang, Bin Han · 2024 · Science China Life Sciences
- DexDesign: an OSPREY-based algorithm for designing de novo D-peptide inhibitorsNathan Guerin, Henry Childs, Pei Zhou, Bruce Randall Donald · 2024 · Protein Engineering Design and Selection
- Challenges and compromises: Predicting unbound antibody structures with deep learningAlexander Greenshields‐Watson, Odysseas Vavourakis, Fabian C. Spoendlin, Matteo Cagiada, Charlotte Mary Deane · 2025 · Current Opinion in Structural Biology
- De novo design of monomeric helical bundles for pH ‐controlled membrane lysisNicolas Manuel Goldbach, Issa Benna, Basile I. M. Wicky, Jacob T. Croft, Lauren P. Carter, Asim K. Bera, Hannah Nguyen, Alex Kang, Banumathi Sankaran, Erin C. Yang et al. · 2023 · Protein Science
- InstructPLM: Aligning Protein Language Models to Follow Protein Structure InstructionsJiezhong Qiu, Junde Xu, Jie Hu, Hanqun Cao, Liya Hou, Zi-Jun Gao, Xinyi Zhou, Anni Li, Xiujuan Li, Bin Cui et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
- Blind De Novo Design of Dual Cyclic Peptide Agonists Targeting GCGR and GLP1RQiuzhen Li, Elisée Wiita, Thomas Helleday, Patrick Bryant · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
- De novo design of phosphorylation-induced protein switches for synthetic signaling in cellsStephen Buckley, Yangyang Miao, Mubarak Idris, Pao‐Wan Lee, Leo Scheller, Roland Riek, Sebastian J. Maerkl, Luciano A. Abriata, Bruno E. Correia · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
- Accurate prediction of CDR-H3 loop structures of antibodies with deep learningChen, Hedi, Fan, Xiaoyu, Zhu, Shuqian, Pei, Yuchan, Zhang, Xiaochun, Zhang, Xiaonan, Liu, Lihang, Qian, Feng, Tian, Boxue · 2024 · eLife
- Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical dataDraizen, Eli J., Readey, John, Mura, Cameron, Bourne, Philip E. · 2024 · BMC Bioinformatics
- Pseudo-perplexity in one fell swoop for protein fitness estimationKantroo, Pranav, Wagner, Günter P., Machta, Benjamin B. · 2025 · PRX Life
- HighMPNN: A Graph Neural Network Approach for Structure-Constrained Cyclic Peptide Sequence DesignXu, Wen, Zhang, Chengyun, Shang, Tianfeng, Mao, Qingyi, Guo, Jingjing, Duan, Hongliang · 2026 · IEEE Journal of Biomedical and Health Informatics
- Diversifying de novo TIM barrels by hallucinationJulian Beck, S. Shanmugaratnam, Birte Höcker · 2024 · Protein Science
- MetalTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in Protein Metal-Binding SitesMing Zhang, Xiaohua Wang, Shanruo Xu, Fang Ge, Ian Costa Paixao, Jiangning Song, Dong‐Jun Yu · 2024 · Journal of Chemical Information and Modeling
- Accurate Neural Network Fine-Tuning Approach for Transferable Ab Initio Energy Prediction across Varying Molecular and Crystalline ScalesWai-Pan Ng, Zili Zhang, Jun Yang · 2025 · Journal of Chemical Theory and Computation
- Glycosyltransferases in human milk oligosaccharide synthesis: structural mechanisms and rational designYanfeng Liu, Guocheng Du, Jian Chen, Xueqin Lv, Long Liu · 2025 · Current Opinion in Biotechnology
- Design of SARS-CoV-2 RBD immunogens to focus immune responses toward conserved coronavirus epitopesCaitlin Harris, Anyway Brenda Kapingidza, James Emmanuel San, Jayani Christopher, Tyler D. Gavitt, Brianna Rhodes, Katarzyna Janowska, Christopher O’Donnell, Jared J. Lindenberger, Xiao Yan Huang et al. · 2025 · Journal of Virology
- De novo design of a fusion protein tool for GPCR research2025
- Does Sequence Clustering Confound AlphaFold2?2025
- Tailored structured peptide design with a key-cutting machine approachYan Carlos Leyva, Marcelo D. T. Torres, Carlos A. Oliva, César de la Fuente‐Núñez, Carlos A. Brizuela · 2025 · Nature Machine Intelligence
- Structure and evolution-guided design of minimal RNA-guided nucleasesPetr Skopintsev, Isabel Esain-Garcia, Evan C. DeTurk, Peter H. Yoon, Zehan Zhou, Trevor J. Weiss, Maris Kamalu, Ajit Chamraj, Kenneth J. Loi, Conner J. Langeberg et al. · 2026 · Science
- Without safeguards, AI-Biology integration risks accelerating future pandemicsDianzhuo Wang, Marian Huot, Zechen Zhang, Kaiyi Jiang, Eugene I. Shakhnovich, Kevin M. Esvelt · 2026 · Frontiers in Microbiology
- A geometric deep learning framework for genome-wide prediction of enzyme turnover numberTong Pan, Xin Cui, Huan Yee Koh, Yue Bi, Xiaoyu Wang, Yumeng Zhang, Shantong Hu, Geoffrey I. Webb, Lukasz Kurgan, Guimin Zhang et al. · 2026 · Genome biology
- Benchmarking Generative AI Protein Models Reveals Differences Between Structural and Sequence-based ApproachesAlexander J Barnett, Rajendra KC, Pratikshya Pandey, Pamodha Somasiri, Kirsten A. Fairfax, Sandy S. C. Hung, Alex William Hewitt · 2026 · Genomics Proteomics & Bioinformatics
- From biopolymers to microcompartments: A structured review of protein-based scaffolds for enzyme immobilizationKomal S. Timane, Chiranjit Chowdhury · 2026 · Biotechnology Advances
- AI-driven protein engineering: A new paradigm for plant trait designRan Fu, Shan Jiang, Tong Wu, Can Yin, Jun Yan, Xiangfeng Wang · 2026 · Molecular Plant
- Biosynthetic Lanthanide-Luminescent Mini-Proteins Using Genetic Code ExpansionEdan Habel, Haocheng Qianzhu, Elwy H. Abdelkader, Nathan Paul, Gottfried Otting, Thomas Huber · 2026 · Journal of the American Chemical Society
- Physics-based approach to extend a de novo TIM barrel with rationally designed helix-loop-helix motifsSina Kordes, Julian Beck, S. Shanmugaratnam, Merle Flecks, Birte Höcker · 2023 · Protein Engineering Design and Selection
- Enzyme redesign and genetic code expansionVaitea Opuu, Thomas Simonson · 2023 · Protein Engineering Design and Selection
- In vivo selection of synthetic nucleocapsids for tissue targetingAudrey Olshefsky, Halli Benasutti, Meilyn Sylvestre, Gabriel L. Butterfield, Gabriel J. Rocklin, Christian Richardson, Derrick R. Hicks, Marc J. Lajoie, Kefan Song, Elizabeth M. Leaf et al. · 2023 · Proceedings of the National Academy of Sciences
- Understanding the cooperative effects in the catalysis of homodimeric fluoroacetate dehalogenaseKe-Wei Chen, Jianan Chen, Jun Zhang, Chao Wang, Tian‐Yu Sun, Yun‐Dong Wu · 2024 · Science China Chemistry
- From predicting to decision making: Reinforcement learning in biomedicineXuhan Liu, Jun Zhang, Zhonghuai Hou, Yi Yang, Yi Qin Gao · 2024 · Wiley Interdisciplinary Reviews Computational Molecular Science
- Machine learning-assisted substrate binding pocket engineering based on structural informationXinglong Wang, Kangjie Xu, Xuan Zeng, Kai Linghu, Beichen Zhao, Shangyang Yu, Kun Wang, Shuyao Yu, Xinyi Zhao, Weizhu Zeng et al. · 2024 · Briefings in Bioinformatics
- Harnessing Deep Learning Methods for Voltage-Gated Ion Channel Drug DiscoveryDiego López Mateos, Brandon John Harris, Adriana Hernández González, Kush Narang, Vladimir M. Yarov-Yarovoy · 2024 · Physiology
- MetalPrognosis: A Biological Language Model-Based Approach for Disease-Associated Mutations in Metal-Binding Site PredictionRunchang Jia, Zhijie He, Cong Wang, Xudong Guo, Fuyi Li · 2024 · IEEE Transactions on Computational Biology and Bioinformatics
- Protein engineering using variational free energy approximationEvgenii Lobzaev, Michael A. Herrera, Martyna Kasprzyk, Giovanni Stracquadanio · 2024 · Nature Communications
- Identification, characterization, and design of plant genome sequences using deep learningZhenye Wang, Hao Yuan, Jianbing Yan, Jianxiao Liu · 2024 · The Plant Journal
- Data and AI-driven synthetic binding protein discoveryYanlin Li, Zixin Duan, Zhenwen Li, Weiwei Xue · 2025 · Trends in Pharmacological Sciences
- If It Is Hard, It Is Worth Doing: Engineering Radical Enzymes from AnaerobesChristof Martin Jäger, Anna K. Croft · 2022 · Biochemistry
- AlphaCutter: Efficient removal of non‐globular regions from predicted protein structuresChunlai Tam, Wataru Iwasaki · 2023 · PROTEOMICS
- De novo generation of T-cell receptors with desired epitope-binding property by leveraging a pre-trained large language modelJiannan Yang, Bing He, Yu Zhao, Feng Jiang, Zhonghuang Wang, Yixin Guo, Zhimeng Xu, Bo Yuan, Jiangning Song, Qingpeng Zhang et al. · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
- FoldMark: Safeguarding Protein Structure Generative Models with Distributional and Evolutionary WatermarkingZaixi Zhang, Ruofan Jin, Jiangle Liu, Guangxue Xu, Xiaotong Wang, Marinka Žitnik, Huimin Zhao, Le Cong, Mengdi Wang · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
- Improving diffusion-based protein backbone generation with global-geometry-aware latent encoding2025
- Proscan: a structure-based proline design web serverNathaniel R. Felbinger, Helder Veras Ribeiro Filho, Brian G. Pierce · 2024 · Nucleic Acids Research
- RhoMax: Computational Prediction of Rhodopsin Absorption Maxima Using Geometric Deep LearningMeitar Sela, Jonathan Richard Church, Igor Schapiro, Dina Schneidman‐Duhovny · 2024 · Journal of Chemical Information and Modeling
- Precise pathogen quantification by CRISPR-Cas: a sweet but tough nut to crackZhihao Yao, Wanglu Li, Kaiyu He, Hongmei Wang, Yan Xu, Xiahong Xu, Qun Wu, Liu Wang · 2024 · Critical Reviews in Microbiology
- ConoDL: a deep learning framework for rapid generation and prediction of conotoxinsMenghan Guo, Zengpeng Li, Xuejin Deng, Ding Luo, Jingyi Yang, Yingjun Chen, Weiwei Xue · 2024 · Journal of Computer-Aided Molecular Design
- De novo carbon monoxide dehydrogenase and carbonic anhydrase using molecular dynamics and deep generative modelRuei-En Hu, Chang-Chun Chang, Tzu-Hao Chen, Ching‐Ping Chang, Chi‐Hua Yu, I‐Son Ng · 2025 · Process Biochemistry
- MELD in Action: Harnessing Data to Accelerate Molecular DynamicsJokent T. Gaza, Emiliano Brini, Justin L. MacCallum, Ken A. Dill, Alberto Pérez · 2025 · Journal of Chemical Information and Modeling
- CMDmpnn: Combining Comparative Molecular Dynamics and ProteinMPNN to Rapidly Expand Enzyme Substrate SpectrumChuanqi Sun, Zhimin Li, Ji Yu, Ulrich Schwaneberg, Zonglin Li · 2025 · Journal of Chemical Information and Modeling
- UniESA: a unified data-driven framework for enzyme stereoselectivity and activity predictionChun‐Yue Weng, Jun Li, Qilin Chen, Jiayi Han, Zhi-Tao Dong, Zhi‐Qiang Liu, Yu‐Guo Zheng · 2025 · Green Chemistry
- Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learningMatheus Vitor Ferreira Ferraz, Wenny Camilla dos Santos Adan, Tayná Evily de Lima, Adriele Jéssica do Carmo Santos, Sérgio Oliveira de Paula, Rafael Dhália, Gabriel Luz Wallau, Rebecca C. Wade, Isabelle F. T. Viana, Roberto Dias Lins · 2025 · PLoS Computational Biology
- Molecular circuits for genomic recording of cellular eventsWei Chen, Junhong Choi · 2025 · Trends in Genetics
- Enzyme miniaturization: Revolutionizing future biocatalystsNing Ding, Yaoyukun Jiang, Sangsin Lee, Zihao Cheng, Xinchun Ran, Yujing Ding, Robbie Ge, Yifei Zhang, Zhongyue John Yang · 2025 · Biotechnology Advances