Sequence modeling and design from molecular to genome scale with Evo

Cited by (623)

Items 201–300 of 623

  1. 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
  2. The Emerging Role of Artificial Intelligence in Drug Discovery and Development: Implications for Cardiovascular Pharmacology
    Alaa Abdelhamid, Dima Nasrallah, Yaman Al-Haneedi, Esraa A. Ahmed, Ali Hussein Eid · 2026 · Journal of Cardiovascular Pharmacology
  3. Generative AI for synthetic biology: Designing biological parts, circuits, and genomes
    Nayoung Kim, Giuliano De Carluccio, Kehan Zhang, James J. Collins · 2026 · Cell Systems
  4. From modality-specific to compositional foundation models for cell biology
    Mojtaba Bahrami, Till Richter, Niklas Arndt Schmacke, Aitana Egea Lavandera, Fabian Joachim Theis · 2026 · Cell Systems
  5. Artificial intelligence models: transforming early diagnosis and precise treatment of gastrointestinal cancers
    Kaijie Liu, Zeyu Luo, Wenxiao Zhang, Qiyuan Pan, Xiaotan Su, Zhouyu Yang, Qiaoqiao Zhang, Bin Wang, Bo Tang, zongsheng he et al. · 2026 · Molecular Cancer
  6. 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
  7. Computational approaches for multimodal lineage tracing
    Kun Wang, Xionglei He, Zheng Hu · 2026 · Nature Reviews Genetics
  8. 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
  9. Advancing CRISPR base editing technology through innovative strategies and ideas
    Xiongwei Fan, Yang Lei, Liren Wang, Xiushan Wu, Dali Li · 2024 · Science China Life Sciences
  10. MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization
    Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Väinö Hatanpää, Varuni Katti Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Kumar Vasan et al. · 2024 · International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
  11. Bacterial Autonomous Intelligent Microrobots for Biomedical Applications
    Haotian Chen, Yingze Li, Zhenguang Li, Yuantai Sun, Weicheng Gu, Chang Chen, Yu Cheng · 2025 · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology
  12. From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models
    Charles W. J. Pugh, Paulina G. Nuñez-Valencia, Mafalda Dias, Jonathan Frazer · 2025 · neural information processing systems
  13. AI-Empowered Genome Decoding: Applications of Large Language Models in Genomics
    Shaopeng Li, Weiliang Fan, Yu Zhou · 2025 · Frontiers of digital education.
  14. Influ-BERT: a domain-adaptive genomic language model for advancing influenza A virus research
    Rongye Ye, Lun Li, Ana Tereza Ribeiro de Vasconcelos, Shuhui Song · 2026 · Briefings in Bioinformatics
  15. Transformer model generated bacteriophage genomes are compositionally distinct from natural sequences
    Jeremy Ratcliff · 2024 · NAR Genomics and Bioinformatics
  16. Language Modelling Techniques for Analysing the Impact of Human Genetic Variation
    Megha Hegde, Jean‐Christophe Nebel, Farzana Rahman · 2025 · Bioinformatics and Biology Insights
  17. PlasmidGPT: A generative framework for plasmid analysis and generation
    Bin Shao, Zequan Han, Zeyu Liang, Yi‐Xin Huo · 2026 · Science Advances
  18. FAST-STEM: A human pluripotent stem cell engineering toolkit for rapid design-build-test-learn development of human cell-based therapeutic devices
    Aaron H. Rosenstein, Rangarajan Sambathkumar, Brandon M. Murareanu, Navroop K. Dhaliwal, Fumao Sun, Xinyaun Zhao, Abolfazl Dadvar, Rasha Al-attar, Andrew Chai, Nitya Gulati et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  19. Learning transcriptome architecture from sequence with a long-context RNA foundation model
    Ali Saberi, Man Hung Choi, Shaopu Zhou, Mohsen Naghipourfar, Simai Wang, Aldo Hernández-Corchado, Rohan Dandage, Najia Bouaddouch, Arsham Mikaeili Namini, Ali Poursina et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  20. Learning the language of DNA
    Christina V. Theodoris · 2024 · Science
  21. Quantitative insights into the efficacy of genome-resolved surveys of microbial communities through ribosomal protein phylogeography and EcoPhylo
    Matthew S. Schechter, Florian Trigodet, Iva Veseli, Samuel E. Miller, Matthew L. Klein, Metehan Sever, Loïs Maignien, Tom O. Delmont, Samuel H. Light, A. Murat Eren · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  22. Designing AI-programmable therapeutics with the EDEN family of foundation models
    Geraldene Munsamy, Gavin Ayres, Carla Greco, Keith Y K Kam, Gus Minto-Cowcher, John St John, Tanggis Bohnuud, Matthew H. Bakalar, William Chow, Robert J. Pecoraro et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  23. Coevolutionary mining of prokaryotic non-coding elements with a genome language model
    David Li, Garyk Brixi, Alexandra Kim, Mateus Bernabe Fiamenghi, Claudia L. Driscoll, Simone A. Evans, Linyi Gao, Natalia Ivanova, Nikos C. Kyrpides, Karl A. Deisseroth et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  24. Deciphering enzymatic potential in metagenomic reads through DNA language models
    Prabakaran, R, Bromberg, Yana · 2025 · Nucleic Acids Research
  25. Generating functional plasmid origins with OriGen
    Irvine, Jamie, Martinson, Jonathan N V, Arora, Jigyasa, Hasham, Sarah I, Patel, Jaymin R, Qi, Emily T, Cress, Brady F, Rubin, Benjamin E · 2025 · Nucleic Acids Research
  26. Genomic heterogeneity inflates the performance of variant pathogenicity predictions
    Baiyu Lu, Xiao Liu, Po‐Yu Lin, Nadav Brandes · 2026 · Nature Communications
  27. Accurate prediction of gene deletion phenotypes with Flux Cone Learning
    Charlotte Merzbacher, Oisin Mac Aodha, Diego A. Oyarzún · 2025 · Nature Communications
  28. UNICORN: Towards universal cellular expression prediction with a multi-task learning framework
    Tianyu Liu, Tinglin Huang, Lijun Wang, Yingxin Lin, Rex Ying, Hongyu Zhao · 2025 · Nature Communications
  29. Biotechnology meets AI: Accelerating next-generation of microbial breeding for food biomanufacturing
    Youming Tan, Haojie Ni, Tong Wu, Wenlu Li, Hong Zeng, Yanbo Wang · 2025 · Food Research International
  30. Controlling gene expression using AI designed Cis-regulatory elements
    Yan Xia, Yi‐Xin Huo · 2026 · Biotechnology Advances
  31. Genomic language model mitigates chimera artifacts in nanopore direct RNA sequencing
    Yangyang Li, Ting-You Wang, Qingxiang Guo, Yanan Ren, Xiaotong Lu, Qi Cao, Rendong Yang · 2026 · Nature Communications
  32. Sharing approaches in predictive genomics across animals, plants and humans
    Saranya Arirangan, Letícia Fernanda de Oliveira, Md Nazmul Hasan, Autumn B. Sherman, Mitchell R. Tuinstra, Luiz F. Brito, Robbee Wedow, Matthew Tegtmeyer · 2026 · Nature Genetics
  33. Genomic perplexity and the evolution of context-dependent function
    James O. McInerney · 2026 · Molecular Biology and Evolution
  34. Loop-recognition dual-hairpin competitive probes enabling a dual-ratiometric electrochemical platform for specific SNP discrimination and logic gate construction
    Wei Zhang, Xiang Tang, Yuhan Chen, Rui Guo, Meng Wang, Ximiao Yang, Weiping Deng, Yunshan Zhang, Xianzhong Feng, Jing Ye et al. · 2026 · Biosensors and Bioelectronics
  35. Synergizing genome editing and artificial intelligence for predictive crop design
    Zhaoxu Gao, Jinjie Zhu, Chuanxiao Xie · 2026 · Molecular Plant
  36. Dual-use artificial intelligence and biology: upstream risk-benefit reviews
    Moritz S. Hanke, Shrestha Rath, Anita J. Cicero, Thomas V. Inglesby, Jaspreet Pannu · 2026 · Frontiers in Microbiology
  37. Integrating CRISPR/Cas Biosensors with Advanced Platforms: A Holistic Path Toward Preamplification-free, Multiplexed, and Continuous Molecular Monitoring
    Clement Yaw Effah, Xinyu Li, Qimeng Zhang, Lihua Ding, Emmanuel Kwateng Drokow, Xi Zhang, Yongjun Wu · 2026 · ACS Sensors
  38. Benchmark Early and Red Team Often
    Anthony Michael Barrett, Krystal Jackson, Evan R. Murphy, Nada Madkour, Jessica Newman · 2024 · SuperIntelligence - Robotics - Safety & Alignment
  39. AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging
    Fedor Galkin, Shan Chen, Alexander M. Aliper, Alex A. Zhavoronkov, Feng Ren · 2025 · Aging
  40. Pangenome-Informed Language Models for Synthetic Genome Sequence Generation
    Pengzhi Huang, François Charton, Jan-Niklas Schmelzle, Shelby S. Darnell, Pjotr Prins, Erik P. Garrison, G. Edward Suh · 2025 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  41. Generative design and construction of functional plasmids with a DNA language model
    Angus G Cunningham, Linda Dekker, Anastasiia Shcherbakova, Chris P. Barnes · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  42. A novel transformer-based platform for the prediction and design of biosynthetic gene clusters for (un)natural products
    Kawano, Tomoki, Shiraishi, Taro, Kuzuyama, Tomohisa, Umemura, Maiko · 2026 · PLOS Computational Biology
  43. Accurate Prediction of CRISPR/Cas13a Guide Activity Using Feature Selection and Deep Learning
    Jiashun Fu, Xuyang Liu, Ruijie Deng, Xiue Jiang, Wensheng Cai, Haohao Fu, Xueguang Shao · 2025 · Journal of Chemical Information and Modeling
  44. Protein design and optimization for synthetic cells
    Béla P. Frohn, Shunshi Kohyama, Petra Schwille · 2025 · Nature Reviews Bioengineering
  45. Advances in Intelligent Design and Optimization Methods for Nucleic Acid Sequences
    Ting Yang, Minxu Han, Xiaoru Wen, Yanfen Zheng · 2025 · Journal of Artificial Intelligence in Bioinformatics
  46. The landscape of genitourinary cancer vaccines: clinical advances and future opportunities
    Ruoxuan Zheng, Yuxin Cai, Weihong Ding, Feng Yang, Ke Xu, Yuan Gao · 2025 · Journal of Advanced Research
  47. A unified computational framework for quantitative design and optimization of transcriptional regulation across bacterial species
    Tianze Wang, Ronghui Xie, Zhuo Ma, Ye Chen · 2025 · Nucleic Acids Research
  48. ChromBERT: A foundation model for learning interpretable representations for context-specific transcriptional regulatory networks
    Zhaowei Yu, Dongxu Yang, Qianqian Chen, Yuxuan Zhang, Zhanhao Li, Yucheng Wang, Chenfei Wang, Yong Zhang · 2026 · Cell Genomics
  49. Advances in Double‐Stranded DNA Targeting Technologies
    Zuhao Shen, Yiqun Liu, Yingjie Hao, Yifan Bo, Xiaochuan Dai, Shihui Wang, Tian Xia, Xin Su, Huiyu Liu · 2026 · Exploration
  50. CO2-driven biosurfactant synthesis by bacteria within CCUS
    Amanda Pasinato Napp, William Lautert Dutra, Lovaine Silva Duarte, Eduarda Vargas Abati, Francine Melise dos Santos, Clarissa Lovato Melo · 2026 · Applied Microbiology and Biotechnology
  51. Artificial Intelligence in Chemical Engineering: Protein Design from First Principles to Structural Prediction
    Joe Bailey, Soren C. Spina, Andrew Hu, Nathan Phan, Rachel B. Getman, Blaise R. Kimmel · 2026 · ACS Engineering Au
  52. AI foundation models for RNA biology
    Haopeng Yu, Yiliang Ding · 2026 · RNA Biology
  53. From foundation models to autonomous agents in biology
    Shenghui Huang, Mei Lang, Zihan Chen, Chenxu Yang, Xiaoying Huang, Zeynab Mohtashaminia, Yuzhong Peng · 2026 · Genomics Communications
  54. Artificial intelligence-assisted mining of polyethylene terephthalate hydrolases
    Quyuan Xiong, Guangyu Liu, Shipeng Gao, Yuechuo Hao, Cheng Li, Jingwen Liu, Jiasong Huang, Anthony J. Sinskey, Yan X Zhang, X. H. Chen et al. · 2026 · New Biotechnology
  55. Molecular engineering of CRISPR-Cas systems for sensing and imaging of metal ions: Recent advances and future perspectives
    Yuanzhen Ye, Jingjing Zhang · 2026 · Chemical Engineering Journal
  56. From DNA to drug discovery AI models for cardiovascular precision medicine
    Satoshi Kodera, Norihiko Takeda · 2026 · Journal of Cardiology
  57. Decoding disease complexity: Multi-Omics integration and AI in precision medicine
    Hajar Amini, Jeffrey Wang · 2026 · The Journal of Precision Medicine Health and Disease
  58. Machine Learning for RNA-Targeting Drug Design
    Wissam Karroucha, Carlos Oliver, Véronique Stoven, Vincent Mallet · 2026 · Journal of Chemical Information and Modeling
  59. Expanding the scope of protein language modeling to protein-protein interactions with MSA Pairformer
    Yo Akiyama, Zhidian Zhang, Olivia Tang, Seongeun Kim, Milot Mirdita, Martin Steinegger, Sergey Ovchinnikov · 2026 · Cell
  60. Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation
    Antonio Lavecchia · 2026 · Medicinal Research Reviews
  61. Large language medicine: defining a new paradigm in human health
    Ahmad Guni, Wanheng Hu, Jessica Morley, Ivan Glenn Cohen, Payam Mamaani Barnaghi, Hutan Ashrafian · 2026 · Frontiers in Science
  62. Large language model applications in nucleic acid research
    Lei Li, Cheng Zhao · 2025 · Genomics Communications
  63. Gene syntaxes modulate gene expression and circuit behavior on plasmids
    Yijie Deng, Hannah E. Maurais, Kai Etheridge, Rahul Sarpeshkar · 2025 · Journal of Biological Engineering
  64. Decoding G-Quadruplexes Sequence in Vitis vinifera: Regulatory Region Enrichment, Drought Stress Adaptation, and Sugar–Acid Metabolism Modulation
    Jun Hua Xie, Kangkang Song, Gaixia Qiao, Rong Wang, Hongyuan Wu, Qiaoxia Jia, Yujuan Liu, Yi Li, Meilong Xu · 2025 · Plants
  65. Epigenetics is all you need: A transformer to decode chromatin structural compartments from the epigenome
    Esteban Dodero‐Rojas, Angel Mendieta, Yao Fehlis, Nicholas Mayala, Vinícius G. Contessoto, José N. Onuchic · 2025 · PLoS Computational Biology
  66. Navigable Genome Engineering: Stepwise Correlation for Precision-Guided Optimization of Microbial Cell Factory Phenotypes
    Xinyu Yu, Jia Guo, Jiacheng Sun, Chong Zhang · 2025 · Synthetic biology and engineering
  67. Predicting population dynamics of antimicrobial resistance using mechanistic modeling and machine learning
    Zhengqing Zhou, Irida Shyti, Jaemin Kim, Lingchong You · 2025 · Advanced Drug Delivery Reviews
  68. Annotation Vocabulary (Might Be) All You Need
    Logan Hallee, Nikolaos Rafailidis, Colin Horger, David Ke Hong, Jason P. Gleghorn · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  69. BioToken and BioFM – Biologically-Informed Tokenization Enables Accurate and Efficient Genomic Foundation Models
    Александр Владимирович Медведев, Karthik Viswanathan, Praveenkumar Kanithi, Kirill Vishniakov, Prateek Munjal, Clément Christophe, Tiago R Magalhães, Marco AF Pimentel, Ronnie Rajan, Shadab Khan · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  70. mRNABench: A curated benchmark for mature mRNA property and function prediction
    Ruian Shi, Taykhoom Dalal, Philip Fradkin, Divya Koyyalagunta, Simran Chhabria, Andrew Jung, Cyrus L. Tam, Defne Ceyhan, Jessica Lin, Kaitlin U. Laverty et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  71. Decoding the gene regulatory landscape through multimodal learning of protein-DNA interactions
    Jimin Tan, Xi Fu, Xinyu Ling, Shentong Mo, Jiangshan Bai, Raúl Rabadán, David Fenyö, Jef D. Boeke, Aristotelis Tsirigos, Bo Xia · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  72. BioLab: End-to-End Autonomous Life Sciences Research with Multi-Agents System Integrating Biological Foundation Models
    Ruofan Jin, Yucheng Guo, Yuanhao Qu, Ming Yang, Chun Shang, Qirong Yang, Linlin Chao, Yi Zhou, Rui Min Xu, Ziyao Xu et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  73. In-Context Learning can distort the relationship between sequence likelihoods and biological fitness
    Pranav Kantroo, Wagner, Günter P., Benjamin B. Machta · 2025 · PubMed
  74. Evolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapes
    Chengxiang Qiu, Riza M. Daza, Ian C. Welsh, Rupali P Patwardhan, Beth K. Martin, Tony W. Li, Shizhao Yang, Camiel C. A. Mannens, Seppe De Winter, Niklas Kempynck et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  75. Multiplexed construction of defined DNA products from unpartitioned oligonucleotide pools
    Noah Evan Robinson, Jean-Sebastien Paul, Weilin Zhang, Hanqiao Zhang, Sixiang Wang, Arjuna M. Subramanian, Tianhua Zhao, Ezri Abraham, William Ho, Benjamin Simpson et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  76. Genos-m: a foundation model for human-associated microbial genomes
    Chao Fang, Fangming Yang, Hao Hou, Huahui Ren, Huanzi Zhong, Huinan Xu, Jiahao Zhang, Jianxin Su, Jielun Cai, Jingnan Yuan et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  77. A high-level programming language for generative biology with Proto
    Aditi T. Merchant, Daniel Guo, Ben Viggiano, Lucas Brennan-Almaraz, Evelyn Hur, Tina Mai, Peter Yin, Samuel H. King, Euan Angus Ashley, Brian Hie · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  78. AI-designed viral genomes
    Thomas V. Inglesby, Moritz S. Hanke · 2026 · Science
  79. Considering Metabolic Context in Enzyme Evolution and Design
    Dhiraj Dokwal, Philip M. Brown, Karolina Filipowska, Kimberly A. Reynolds · 2025 · Biochemistry
  80. A case for breeding heat-tolerant broccoli
    Melanie Cabrera, Carlos D. Messina · 2025 · npj Sustainable Agriculture
  81. De-extinction and beyond: trait design powered by generative AI
    Siqi Wang, Wei Li, Guihai Feng · 2025 · Trends in biotechnology
  82. Prediction of DNA Methylation With Long-Range State-Space Models
    Hao Feng, Sakshar Chakravarty, Stefano Lonardi · 2025 · IEEE Transactions on Computational Biology and Bioinformatics
  83. Molecular effects of transposable element sequences in mammalian cells
    Ming Wen, Joshua D. Welch · 2025 · Genome biology
  84. PolyA-GLM: A comprehensive framework for De novo polyadenylation site prediction using genome language models
    Sourav Saha, Naima Ahmed Fahmi, Jeongsik Yong, Wei Zhang · 2025 · Computational and Structural Biotechnology Journal
  85. HSCFA: Hierarchical sparse and collaborative fusion attention with large foundation models for diagnosing Alzheimer’s disease
    Zhaoxu Xing, Da-Fang Zhang, Kun Xie, Jinxiong Fang, Xia-An Bi · 2025 · Information Fusion
  86. CLAMP: predicting specific protein-mediated chromatin loops in diverse species with a chromatin accessibility language model
    Zhijie He, Yu Sun, Hao Li, Canzhuang Sun, Xianhui Yang, Hebing Chen, Mingzhi Liao, Xiaochen Bo · 2026 · Genome biology
  87. Deep Learning Meets Synthetic Biology: Applications Across Molecular, Cellular, and Metabolic Scales
    Yingqi Zhao, Chen Yang, Boyuan Xue, Hao Liu, Shaojie Wang, Haijia Su · 2026 · Green Carbon
  88. PlantBiMoE: A Bidirectional Foundation Model with Sparsemoe for Plant Genomes
    Kepeng Lin, Qizhe Zhang, Rui Wang, Xuehai Hu, Wei Min Xu · 2025 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  89. Beyond text generation: large language models as autonomous agents for orchestrating synthetic biology cycles
    Anqiang Ye, Bing-Ying Wang, Zhenshun Cheng, Changjiang Dong, Feng-Biao Guo · 2026 · Bioresource Technology
  90. DNAwhisper : An Integrated Deep Learning Pyramidal Framework for Multi‐Trait Genomic Prediction and Adaptive Marker Prioritisation
    Yuexin Ma, Xiang Li, Xiaohao Ji, Chunying Wang, Di Zhang, Tingting Zhai, Haibo Wang, Ping Liu · 2026 · Plant Biotechnology Journal
  91. Opportunities for artificial intelligence and synthetic biology in designing living drug delivery systems
    Jason H. Yang, Caleb J. Bashor · 2026 · Advanced Drug Delivery Reviews
  92. ProteomeLM: A proteome-scale language model enables accurate and rapid prediction of protein–protein interactions and gene essentiality across taxa
    2026
  93. Explicit dynamic cross-strand interactions for DNA sequence language modelling
    Cheng Yang, Liu Y, Lei Ling, Yang Liu, F. H. Li, Changjian Chen, Long Wang, Feng Yu, Liang Qiao, Xiangxiang Zeng et al. · 2026 · Nature Machine Intelligence
  94. Bridging three-dimensional molecular structures and artificial intelligence with a conformation description language
    Jiacheng Xiong, Yuqi Shi, M T Wu, Panpan Shao, Zhaokun Wang, Wei Zhang, Runze Zhang, Zhiyi Chen, Chuanlong Zeng, Xun Jiang et al. · 2026 · Nature Machine Intelligence
  95. Generative artificial intelligence for enzyme design and biocatalysis
    Lasse Middendorf, Noelia Ferruz · 2026 · Current Opinion in Chemical Biology
  96. Engineering DNA-Targeting CRISPR and CRISPR-Like Effectors: Advances from Rational Design and High-Throughput Screening to AI-Driven Development
    Lingwei She, Zeyu Liang, Qin Zou, Yi‐Xin Huo · 2026 · ACS Synthetic Biology
  97. An introduction to the machine learning lifecycle for clinical microbiology
    Imane Lboukili, Benjamin Ryan McFadden, Tavpritesh Sethi, Sarah C. Brüningk · 2026 · Clinical Microbiology and Infection
  98. World models for biomedicine
    Ayush Noori, Nic Fishman, Ada Fang, Lukas Fesser, Marinka Žitnik · 2026 · Cell
  99. CAR T cells from code to clinic: Framing modeling approaches with current translational research goals
    Lucas E. Sant’Anna, Rohita Roy, Janella C. Schwab, Julian I Perez, Michaëlle N. Mayalu · 2026 · Cell Systems
  100. PAIR: protein-aptamer interaction prediction based on language models and contrastive learning framework
    Jun Zhang, Zhiqiang Yan, Hao Zeng, Zexuan Zhu · 2024 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)