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Workshop Thu, Jul 9, 2026 • 4:00 PM – 1:00 AM PDT HALL D2

Generative and Agentic AI for Biology

Wengong Jin ⋅ Lei Li ⋅ Divya Nori ⋅ Aditi Krishnapriyan ⋅ Christian Dallago ⋅ Ramith Hettiarachchi
Project Page [ OpenReview] 

Abstract

Video

Chat is not available.

Schedule

Timezone: America/Los_Angeles
5:15 PM
Opening Remarks
8:15 PM
Lunch
10:45 PM
Poster Session 2
12:00 AM
Panel Discussion
1:00 AM
Award Ceremony
Just Add Structure: Protein Language Models Combined with Structural Equivariance Excel at Protein Tasks
Qurat u ain ⋅ Yee-Whye Teh ⋅ Carlos Outeiral ⋅ Matteo Cagiada ⋅ Charlotte Deane
PROPHET: Phylogenetically Robust Antiviral Peptide Design Against Heterogeneous Evolutionary Trajectories
Kimberly Liang ⋅ Navya Nori ⋅ Sophia Vincoff ⋅ Elizabeth H Mahood ⋅ Yinuo Zhang ⋅ Pranam Chatterjee, PhD
Rethinking Self-Consistency in Protein Generative Models
Minji Lee ⋅ Jaeyeon Kim ⋅ Yeqing Lin ⋅ Mohammed AlQuraishi
LeFlur: A Biomolecular Design Model with Latent Structure Tokens
Sidney Lisanza ⋅ Karina Zadorozhny ⋅ Frederic Dreyer ⋅ Kyunghyun Cho
Generative Priors for Cryo-EM Image Reconstruction
Zain Shabeeb ⋅ Daniel Saeedi ⋅ Darin Tsui ⋅ Vida Jamali ⋅ Amirali Aghazadeh
Generating and decoding methylated DNA with a Human Epigenetic Foundation Model
Pouya Niki ⋅ Christoforos Nalmpantis ⋅ Javkhlan-Ochir Ganbat ⋅ Donal Byrne ⋅ Pooja Kathail ⋅ Husam Babikir ⋅ Anjeet Jhutty ⋅ Andrey Karailiev ⋅ Francisco M Martín-Zamora ⋅ Luca Giacomoni ⋅ Timing Liu ⋅ Netanel Loyfer ⋅ Ivan Koychev ⋅ Hannah Madan ⋅ Jonathan C Wan ⋅ Ravi Solanki
Towards Autonomous Mechanistic Reasoning in Virtual Cells
Yunhui Jang ⋅ Lu Zhu ⋅ Jake Fawkes ⋅ Alisandra Denton ⋅ Dominique Beaini ⋅ Emmanuel Noutahi
annDNA: Learning Annotation-Aware Genomic Representations via Knowledge Distillation
Hwanseok Sim ⋅ Yujin Kim ⋅ Soo-Whee Kim ⋅ Yeojin Ryu ⋅ Joon-Yong An
Confidence-Weighted Elastic Gaussian Networks To Predict Protein Flexibility
Matheus Vitor Ferreira Ferraz ⋅ Francesco Alesiani ⋅ Henrik Christiansen
Beyond Nativeness: Viral Proteins in Protein Language Models
Arthur Bigot ⋅ Harmon Bhasin ⋅ Core Francisco Park ⋅ Eugene Shakhnovich ⋅ Dianzhuo Wang
PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
Chenglei Yu ⋅ Chuanrui Wang ⋅ Bangyan Liao ⋅ Tailin Wu
PIGEON: Pocket-Inferred Geometric Ensemble Flexible Docking
Tong Chen ⋅ Maximilian Holsman ⋅ Pranam Chatterjee, PhD
Can AI Scientist Agents Learn from Lab-in-the-Loop Feedback? Evidence from Iterative Perturbation Discovery
Gilles Wainrib ⋅ Barbara Bodinier ⋅ Haithem Dakhli ⋅ Almudena Espin-Perez ⋅ Roberta Codato ⋅ John Klein
Evaluating out of distribution generalization of protein language models
Kumaresh Krishnan ⋅ Arpan Sarkar ⋅ Sean R Eddy
A supervised ontology-aware cell annotation method for single-cell transcriptomic data
Nimish Magre ⋅ Ebtisam Alshehri ⋅ Fedor Grab ⋅ Yerdos Ordabayev ⋅ Mehrtash Babadi ⋅ Stephen J Fleming
Large-scale sequence modeling of antibody-antigen binding specificity
Fiona Qu ⋅ Sarah Gurev ⋅ Noor Youssef ⋅ Murphy Angelo ⋅ Debora Marks
Self-Distillation for Continual Learning in Masked Language Models
Ali Saadat Varnosfaderanii ⋅ Jacques Fellay
Contextualizing Biological Language Models across Modalities via Logit-Space Contrastive Alignment
Yanjun Shao ⋅ Yundi Chen ⋅ Yashvi Patel ⋅ Aurelien Pelissier ⋅ Maria Rodriguez Martinez
Scaling Pocket Docking with Data Augmentation and Heterogeneous Equivariant Graph Attention
Thi Xuan Huyen Nguyen ⋅ Van-Tuan Le ⋅ Kim-Loc Nguyen ⋅ Yuxing Peng ⋅ Emine Kucukbenli ⋅ Mai Thi Hien ⋅ Steven Truong ⋅ Van H Tang
DELBERT-2: Pretrained Fingerprint Language Models for DEL Protein Binder Prediction
Bing Hu ⋅ Sun Sun ⋅ salman basha ⋅ Anita Layton ⋅ Helen Chen
Evaluating H5N1 Vaccine Durability using Computationally-Designed Proteins
Navami Jain ⋅ Noor Youssef ⋅ Sarah Gurev ⋅ Debora Marks
SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks?
Kevin Han ⋅ renfei zhang ⋅ Kathy Y Wei ⋅ Hamed Mahdavi ⋅ Niloofar Mireshghallah ⋅ Amir Barati Farimani
ProtoCol: Late Interaction Retrieval for Protein Homolog Search
Gabrielle Cohn ⋅ Rohan Gumaste ⋅ Minh Hoang ⋅ Vihan Lakshman
Uncertainty-Aware Oracle-Concordance Steering for Reliable Generative Design
Wenhui Lu ⋅ Xiaowei Zhang ⋅ Xiaojing Gao ⋅ Dominik Rothenhaeusler ⋅ Wong
Steering Sequence Generation in Protein Language Models through Iterative Lookback Monte Carlo Sampling
Francesco Calvanese ⋅ Gianluca Lombardi ⋅ Martin Weigt ⋅ Jorge FERNANDEZ-DE-COSSIO-DIAZ
A Deep Generative Mixture Model for Enhancing Circulating Tumor DNA Estimation
Mathilde H Diekema ⋅ Christian Marius Lillelund ⋅ Mads H Rasmussen ⋅ Claus L Andersen ⋅ Jakob Skou Pedersen
MolOpt-Eval: Can Frontier LLMs Perform Structure-Based Hit-to-Lead Optimization?
Chengzhu Li ⋅ Haichuan Tan ⋅ Wenyu Zhu ⋅ Bowen Gao ⋅ Jiqing Zheng ⋅ Ya-Qin Zhang ⋅ Wei-Ying Ma ⋅ Yanyan Lan
GOAgent: Tool-Orchestrating Language Agents for Protein Function Annotation
Raghava Manvitha Reddy Ponnapati ⋅ Brian Lynch ⋅ JOSEPH JACOBSON
Design-CP: Context Parallelism for Design of Protein Nanoparticles
Lorenzo Tarricone ⋅ Helen E Eisenach ⋅ Aiko Muraishi ⋅ Charlotte Deane
Cell-Level Virtual Screening
Caleb Ellington ⋅ Sohan Addagudi ⋅ Jiaqi Wang ⋅ Ben Lengerich ⋅ Eric Xing
Elucidating the Design Space of Generative Models for Single-Cell Perturbation Prediction
Sanjukta Bhattacharya ⋅ Christian Gensbigler ⋅ Shaamil Karim
Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3
Jay H Jung ⋅ Xiaohan Zhang ⋅ Shenghan Song ⋅ Mahmoud Sayedahmed ⋅ Chijian Xiang ⋅ Yunong Xu ⋅ Ahmed AbdelKhalek ⋅ Severin T Schneebeli ⋅ Matthew J Wargo ⋅ Jianing Li ⋅ Safwan Wshah
Generative Modeling of Solvated Biomolecules
MinGyu Choi ⋅ Derek Chen ⋅ Gloria Ma ⋅ Tommi Jaakkola ⋅ Regina Barzilay
ACER: Towards Generalizable Protein-ligand Co-folding
Nopsinth Vithayapalert ⋅ Francesca Grisoni
Two-Stage Fine-Tuning for Protein Sequence Generation with Targeted Amino-Acid Composition
Violeta Basten Romero ⋅ VICTOR GUALLAR ⋅ Isaac Filella-Merce ⋅ Rubén Muñoz-Tafalla ⋅ Anna M Diaz-Rovira ⋅ Bertran Miquel-Oliver
pLM-Guided Inverse Folding for Antibody Sequence Design
Valentin Noske ⋅ Felix Koulischer ⋅ Kathleen Marchal ⋅ Thomas Demeester
Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization
Xinwu Ye ⋅ He CAO ⋅ Hao Li ⋅ Bin Feng ⋅ Zijing Liu ⋅ Robert Tang ⋅ Yu Li ⋅ Shenghua Gao
CPgen: Heterochiral Cyclic Peptide Ensemble Generation and Ensemble-Based Sequence Design
Maxim Secor ⋅ Jovan Damjanovic ⋅ Veronika Thost ⋅ Sebastian Swanson ⋅ Kristine Deibler ⋅ Jesper Ferkinghoff-Borg
Harmonic Torsional Diffusion for Protein-Ligand Flexible Docking
Maksim Zhdanov ⋅ Pavel Strashnov ⋅ Vladislav Kurenkov
Coder as Editor: Code-driven Interpretable Molecular Editing
Wenyu Zhu ⋅ Chengzhu Li ⋅ Xiaohe Tian ⋅ Yifan Wang ⋅ Yinjun Jia ⋅ Jianhui Wang ⋅ Bowen Gao ⋅ Haichuan Tan ⋅ Ya-Qin Zhang ⋅ Wei-Ying Ma ⋅ Yanyan Lan
AIR: Inference-Time Refinement for Discrete-Diffusion Antibody Humanization
Anna Karpova ⋅ Andrey Shevtsov ⋅ Viacheslav Meshchaninov ⋅ Pavel Strashnov
ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning
Mansoor Ahmed ⋅ Spencer VonBank ⋅ Nadeem Taj ⋅ Sujin Lee ⋅ Naila Jan ⋅ Murray Patterson
ST-JEPA: Joint-Embedding Predictive Architecture for Spatial Transcriptomics
Sebastian Birk ⋅ Amirhossein Vahidi ⋅ Mohammad V Sanian ⋅ Arpit Merchant ⋅ Mohammad Lotfollahi
Token-Wise Residual Latent Adapters: Steering Seq2Seq Models for Protein Fitness Extrapolation
Steven Wu ⋅ Mostafa Karimi ⋅ Sharmi Banerjee ⋅ Peng Gao ⋅ Jonah Noh ⋅ Jiachen Li ⋅ Robert Jiang ⋅ Bella Dubrov ⋅ Shang Shang ⋅ Hao Song
GDTR: Layer-wise Settling Depth Reveals Biological Grammar in Genomic Foundation Models
Yoonjin Cho ⋅ Jiheon Kang ⋅ Subin Park ⋅ Sangwoo Kim
Hybrid Flow Matching in Billera-Holmes-Vogtmann Tree Space for Generative Phylogenetic Inference
Yasha Ektefaie ⋅ Jiabo Cui ⋅ Shrey Jain ⋅ Marinka Zitnik ⋅ Pardis Sabeti
Generalise or Memorise? Benchmarking Ligand-Conditioned Protein Generation
Alex Vicente-Sola ⋅ Joan Coines ⋅ Lars J Dornfeld ⋅ Noelia Ferruz
MotifCraft: scalable functional protein binder design with AlphaFold2 hallucination
Océane Follonier ⋅ Torsten Schwede ⋅ Janani Durairaj
Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent
Taehan Kim ⋅ Sarrah M Leung ⋅ Bharat Mekala ⋅ Jeongbin Park
Density-guided AlphaFold reveals unmodeled alternative turn conformations in protein structures
Shuqin Zhang ⋅ Sai Advaith Maddipatla ⋅ Aviv A. Rosenberg ⋅ Sanketh Vedula ⋅ Alexander Bronstein ⋅ Ailie Marx
Where Simple Baselines Fail: Mapping the Modeling Frontier of Perturbation Prediction
Anna Kalygina ⋅ Alexander Theus ⋅ Marina Esteban-Medina ⋅ Valentina Boeva
Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation
Cai Zhou ⋅ Zijie Chen ⋅ Zian Li ⋅ Jike Wang ⋅ Kaiyi Jiang ⋅ Pan Li ⋅ Rose Yu ⋅ Muhan Zhang ⋅ Stephen Bates ⋅ Tommi Jaakkola
Structure-Guided Reinforcement Learning for High-Affinity Antibody Design
Hanqun CAO ⋅ Shuaike Shen ⋅ Weihao Xuan ⋅ Jian Ma ⋅ Pheng Ann Heng ⋅ Fang Wu
Generalization of Protein Foundation Models for Engineered Fluorescent Biosensors
Anirudh Palutla ⋅ Caroline Malin-Mayor ⋅ John N Koberstein ⋅ Alison G Tebo ⋅ Srinivas C Turaga
ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery
Andrew Zhou ⋅ Sharvaree Vadgama ⋅ Sumanth Varambally ⋅ Peter Eckmann ⋅ Michael Gilson ⋅ Rose Yu
Boltz-1 as a force field -- why co-folding models struggle with learning physics and how to fix it
Urszula Julia Komorowska ⋅ Vsevolod Viliuga ⋅ Leif Seute ⋅ Pietro Lió ⋅ Mateja Jamnik
PRiMeFlow: capturing complex expression heterogeneity in perturbation response modelling
Zichao Yan ⋅ Yan Wu ⋅ Xu Ji ⋅ Chaitra Agrahar ⋅ Esther Wershof ⋅ Marcel Nassar ⋅ mehrshad sadria ⋅ Ridvan Eksi ⋅ Vladimir Trifonov ⋅ Ignacio L Ibarra ⋅ Telmo Felgueira ⋅ Błażej Osiński ⋅ Rory Stark
PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling
Xinyu Yuan ⋅ Xixian Liu ⋅ Ya Shi Zhang ⋅ Zuobai Zhang ⋅ Hongyu Guo ⋅ Jian Tang
AURORA: Alignment-Guided Mutation Proposal for Protein Engineering
Katie Spivakovsky ⋅ Jeannie She ⋅ Nathan P Shapiro ⋅ Krithik Ramesh
Boltz-Jump: Accelerated Sampling of the Conformational Landscape of Biomolecular Structure Prediction Models
Ameya Daigavane ⋅ Shashank Sule ⋅ Saeed Saremi ⋅ Andrew Watkins ⋅ Joseph Kleinhenz ⋅ Tess Smidt ⋅ Bodhi Vani
AlloGen: Conformation-Selective Binder Design with Differential State Scoring
Hanqun CAO ⋅ Aastha Pal ⋅ Sumi Kimura ⋅ Yesol Kim ⋅ Jingjie Zhang ⋅ Pheng Ann Heng ⋅ Pranam Chatterjee, PhD
Bridging Gene Regulatory Networks and Causal Representation Learning in Single-Cell Genomics Data
Vincenzo Lagani ⋅ Giorgi Sokhadze ⋅ Liliia Nigmetzianova ⋅ Robert Lehmann ⋅ Yiling Ma ⋅ Sumeer Khan ⋅ Xabier Martínez de Morentin ⋅ Narsis Kiani ⋅ Mikel Hernaez ⋅ Alexander A Lukyanov ⋅ jesper tegner ⋅ David Gomez-Cabrero
Few-Step Cofolding with All-Atom Flow Maps
Gianluca Scarpellini ⋅ Ron Shprints ⋅ Peter Holderrieth ⋅ Juno Nam ⋅ Pranav Murugan ⋅ Rafael Gomez-Bombarelli ⋅ Tommi Jaakkola ⋅ Maruan Al-Shedivat ⋅ Nicholas Boffi ⋅ Joey Bose
Stochastic Path Integral Formalism of Causal Field Theory
Stefan Groha ⋅ Chinghao Wang ⋅ Bernhard Schölkopf ⋅ Arash Mehrjou
Measure-to-measure Regression with Transformers
Matthew Vandergrift ⋅ Martha White ⋅ Yury Polyanskiy ⋅ Philippe Rigollet ⋅ Lazar Atanackovic
DrugSAGE: Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
Yikun Zhang ⋅ Xiwei Cheng ⋅ Tianyu Liu ⋅ Yuanqi Du ⋅ Wengong Jin
DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Model
Yiming Qin ⋅ Kai Yi ⋅ Miruna Cretu ⋅ Sjors Scheres ⋅ Pietro Lió ⋅ Pascal Frossard
Unified sampling framework and benchmarking of sequence- and structure-based protein models
Aviv Spinner ⋅ Pascal Notin ⋅ Samuel P Berry ⋅ Dana Cortade ⋅ Zach Sisson ⋅ Svetlana P Ikonomova ⋅ David Ross ⋅ Debora Marks
RobustDock: Robust Generative Flexible Docking with Long-Tailed Data
Wenyin Zhou ⋅ Erik Englesson ⋅ Mert Can Kurucu ⋅ Hossein Azizpour
Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules
Riccardo De Santi ⋅ Bruce D Lee ⋅ Cristian P Jensen ⋅ Kimon Protopapas ⋅ Sophia Tang ⋅ Chenghao Liu ⋅ Pranam Chatterjee, PhD ⋅ Yisong Yue ⋅ Andreas Krause
EpiCLIP: Learning Antibody-Antigen Interactions from Approximate Interfaces
Joseph Boen ⋅ Imee Sinha ⋅ Samuel Stanton ⋅ Pranav Rao ⋅ Robert Alberstein ⋅ Simon Kelow
LLM-guided acquisition improves pathway-specific Perturb-seq design under experimental budgets
Malaika Aiyar ⋅ Kanglu Pei ⋅ Sisi Qu ⋅ Phil Torr ⋅ Christian Schroeder de Witt ⋅ William Bolton ⋅ Jonathan Hedley
GEMS: Molecular Structure Identification via Geodesic Navigation of the Isomer Manifold
Utku U ACIKALIN ⋅ Yingheng Wang ⋅ Goncalo J Gouveia ⋅ Tyler Schwertfeger ⋅ Frank C Schroeder ⋅ Carla Gomes
MassSpecGym in the Wild: Uncovering and Correcting Evaluation Pitfalls in AI-Driven Molecule Discovery
Hongxuan Liu ⋅ Roman Bushuiev ⋅ Ivy R Lightheart ⋅ Mrunali Manjrekar ⋅ Anton Bushuiev ⋅ Magdalena Lederbauer ⋅ Filip Jozefov ⋅ Yinkai Wang ⋅ Soha Hassoun ⋅ Josef Sivic ⋅ James Taylor ⋅ Runzhong Wang ⋅ David Healey ⋅ Tomas Pluskal ⋅ Connor Coley
Agent-Guided De Novo Design of Nanobody Binders Against a Novel Cancer Target
Yue Zhao ⋅ Melih Yilmaz ⋅ Edward Lee ⋅ Chuanyui Teh ⋅ Lan Guo ⋅ Kemal Sonmez ⋅ Luca Giancardo ⋅ Gordon Trang ⋅ Fangda Xu ⋅ Madelyn Espinosa-Cotton ⋅ Nai-Kong Cheung ⋅ Jiwon Kim ⋅ Nina Cheng
Canopy: A Heterograph Foundation Model for Metabolic Engineering
Jake Bowden ⋅ Laurence Legon ⋅ Satnam Surae
Autoregressive Models Enable Efficient Conditional 3D Molecular Generation
Song Eun Kim ⋅ Ameya Daigavane ⋅ Parthasarathy Suryanarayanan ⋅ Tess Smidt
BGC-Master: Detecting Novel Biosynthetic Gene Clusters with DNA Foundation Models
Fenyi Liu ⋅ Yuhong SUN ⋅ Fan Zhang ⋅ Siheng Chen
Phase-Calibrated Steering of Protein Diffusion Language Models
Kun H Roh ⋅ Vincent Yip ⋅ Sunghoon Rho
SurfDesign: Effective Protein Design on Molecular Surfaces
Fang Wu ⋅ Shuting Jin ⋅ Robert Tang ⋅ Mark Gerstein ⋅ xiangxiang Zeng ⋅ Yejin Choi ⋅ Jure Leskovec ⋅ Jinbo Xu
CLAMP: Steady-State ODE Inference of Gene Regulatory Networks from Single-Cell Perturbations
Amaya Gallagher-Syed ⋅ Aaron Wenteler ⋅ Santiago A Martinez ⋅ Gregory Slabaugh
Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design
Shriram Chennakesavalu ⋅ Kirill Shmilovich ⋅ Hayley Weir ⋅ Colin A. Grambow ⋅ John Bradshaw ⋅ Patricia Suriana ⋅ Chen Cheng ⋅ Kangway Chuang
Proteo-R1: Reasoning Foundation Models for De Novo Antibody Design
Fang Wu ⋅ Weihao Xuan ⋅ Heli Qi ⋅ Heng-Jui Chang ⋅ Hanqun CAO ⋅ Zeqi Zhou ⋅ Haokai Zhao ⋅ Jian Ma ⋅ Zijian Ma ⋅ Heng-Jui Chang ⋅ Robert Tang ⋅ Zehong Wang ⋅ Kuan Pang ⋅ Hanchen Wang ⋅ Kejun Ying ⋅ Chiho Im ⋅ Yinxi Li ⋅ Tinson Xu ⋅ Deyao Zhu ⋅ Peng Xia ⋅ Seungju Han ⋅ Pan Lu ⋅ Guanlue Li ⋅ Pheng Ann Heng ⋅ Naoto Yokoya ⋅ Masashi Sugiyama ⋅ Li Erran Li ⋅ Jure Leskovec ⋅ Yejin Choi
MoCDiff: Efficient Motif-Constrained Discrete Diffusion for Molecule Generation
Tasfia N Ornee ⋅ Mohammad J Basher ⋅ Siddhi K Mishra ⋅ Ozlem Garibay ⋅ Ivan Garibay ⋅ Niloofar Yousefi
Antibody Generation via Redistributed Latent Diffusion
Andrey Shevtsov ⋅ Viacheslav Meshchaninov ⋅ Pavel Strashnov ⋅ Dmitry Vetrov
FORGE: Fragment-Oriented Ranking and Generation for Context-Aware Molecular Optimization
Qingchuan Zhang ⋅ He CAO ⋅ Hao Li ⋅ Yanjun Shao ⋅ Zhiyuan Liu ⋅ Shihang Wang ⋅ Shufang Xie ⋅ Shenghua Gao ⋅ Xinwu Ye
3D Molecule Generation from Rigid Motifs via $\mathrm{SE}(3)$ Flows
Roman Poletukhin ⋅ Marcel Kollovieh ⋅ Eike S. Eberhard ⋅ Stephan Günnemann
Natural-Language-Guided Generator-Agnostic Shortlisting for Protein Binder Design
Gyubok Lee ⋅ Kiwoong Yoo ⋅ Jimin Seo ⋅ Kyunghoon Hur ⋅ Edward Choi
How Do Co-folding Models Organize Structural Information?
Minha Park ⋅ Shinwoo Kim ⋅ Seokhyun Moon ⋅ Hyeongwoo Kim ⋅ Gyuho Jeon ⋅ Woo Youn Kim
Base-and-Sugar Dual-Frame Flow Matching for RNA Co-Design
Junzhe Li ⋅ Lijian Peng ⋅ Yuhao Li ⋅ Yize Zhou ⋅ Hanqun CAO ⋅ Cheng Tan ⋅ Shengchao Liu
IsoPLM: Isolating the Impacts of Architecture on Protein Language Models
Yash Semlani ⋅ Ruitong Li ⋅ Frederick Hoffman ⋅ Nauman Javed ⋅ Krithik Ramesh
Progressive Multi-Agent Reasoning for Biological Perturbation Prediction
Hyomin Kim ⋅ Sangyeon Hwang ⋅ Jaechang Lim ⋅ Yinhua Piao ⋅ Yunhak Oh ⋅ Woo Youn Kim ⋅ Chanyoung Park ⋅ Sungsoo Ahn ⋅ Junhyeok Jeon
GPA: Generative Population Annealing for Test-Time Sequence Design
Anirban Sarkar ⋅ Alejandra Duran ⋅ Peter Koo
Order-Agnostic Decoding for Sample-Efficient RNA Inverse Folding
Antonia Panescu ⋅ Shujun He ⋅ Yixuan He ⋅ ZHITAO YING
Generative design of intrinsically disordered protein regions with IDiom
Jason Liu ⋅ Sebastian Ibarraran ⋅ Frank Hu ⋅ Abigail Park ⋅ Alexander R Dunn ⋅ Grant Rotskoff
Spectral Diffusion for Protein Dynamics
Hew Phipps ⋅ Matteo Cagiada ⋅ Santiago David Villalba ⋅ Charlotte Deane