ICLR 2026 Past GenomicsGenerative models
ICLR 2026 Workshop on Generative and Experimental Perspectives for Biomolecular Design
GEM 2026
- Submission deadline
- Feb 6, 2026, 13:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (76)
Fetched from OpenReview (v2) on 2026-06-10.
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A novel combinatorial high-throughput assay of small molecules and their protein targets
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A Prospective Experimental Assessment of Structure-Based Drug Design: Are We There Yet?
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A Unified Computational Framework for the Integration of AI Models in Structure-Based Drug Design
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AbDD: Experimentally Validated Antibody Developability Optimization via Discrete Diffusion
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Accelerating Protein Molecular Dynamics Simulation with DeepJump
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Accelerating Scientific Discovery with Autonomous Goal-evolving Agents
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AF3Design: Selectivity–Aware Nanobody Design with AlphaFold3
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AlphaFast: High-throughput AlphaFold 3 via GPU-accelerated MSA construction
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An Integrated Computational-Experimental Platform for Holistic mRNA Sequence Design, Build, Test, and Learn
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Antibody design with steerable discrete diffusion
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Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design
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AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance
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Autoregressive Boltzmann Generators
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Biologically-Grounded Multi-Encoder Architectures as Developability Oracles for Antibody Design
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Boltz2ESI: Accurate Enzyme Specificity Prediction with Co-folding Foundation Model
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Bonobo: Efficient Library-Scale Generation for De Novo Antibody Design
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Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions
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CausalBind: Causal Concept Alignment for Protein-Ligand Virtual Screening
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CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design
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Comparing Selectivity-Aware Generative AI and Library Screening in a Virtual DMT Cycle
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Conditional Monte Carlo Tree Diffusion for Designing Cell-Type-Specific and Biologically Faithful Regulatory DNA
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Conditionally Site-Independent Neural Evolution of Antibody Sequences
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Conditioning Protein Language Models Using High-Throughput Sequence-Fitness Data Collection
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DeepPrime7: Predicting PE7 Prime Editing Efficiency Across PAM Variants
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Design of phase-separating biosystem via joint diffusion and positive-unlabeled guidance
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Discovery of Bioresorbable Polymer Suture Coatings for Controlled Tissue Regeneration with Multimodal Foundation Models
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ECLIPSE: A Composable Pipeline for Predicting ecDNA Formation, Evolution, and Therapeutic Vulnerabilities in Cancer
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Efficient, Few-shot Directed Evolution with Energy Rank Alignment
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Folding scFv--Antigen Complexes at Scale
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FoldSAE: Learning To Steer Protein Folding Through Sparse Representations
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From Structure to Function: Preference Alignment for Function-Aware Protein Inverse Folding
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Generalized Multi-State Protein Design with AlphaFold3
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Generative inverse design of RNA structure and function with gRNAde
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GNMCADS: Sampling For Protein Conformation Diversity With Gaussian Network Model Based Condition Annealed Diffusion Sampler
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HallmarkAge: Binarized Hallmark-Aware Transcriptomic Clocks to Discover Aging Mechanisms
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Hit Expansion via Localized Exploration of Synthesizable Chemical Space
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How to make the most of your masked language model for protein engineering
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Hybrid interpretable biophysical modeling of fluorescent protein biosensor function
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IN SILICO GENERATIVE DESIGN OF CHEMICALLY MODIFIED RNA SEQUENCES FOR FUNCTIONAL PREDICTION
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Inference-time optimization for experiment-grounded protein ensemble generation
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Inference-Time Toxicity Mitigation in Protein Language Models via Logit-Diff Amplification
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Information-Theoretic Requirements for Gradient-Based Task Affinity Estimation in Multi-Task Learning
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JUST ADD STRUCTURE: PROTEIN LANGUAGE MODELS COMBINED WITH STRUCTURAL EQUIVARIANCE EXCEL AT PROTEIN TASKS
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Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction
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LieFlower: Controlling Protein Dynamics via Lie-Guided Discrete Flows
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Lyrebird: Toward Robust and Generalizable 3D Molecular Conformer Generation via Equivariant Flows
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Machine learning-guided design of biomolecular condensates in an automated laboratory
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Mechanisms of AI Protein Folding in ESMFold
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Mechanistic Interpretability of Antibody Language Models Using SAEs
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ML-GUIDED MINING OF AN EXTENSIVELY VALIDATED SCFV LIBRARY FOR OPEN-SOURCE ENZYMES IN DIAGNOSTICS
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Modeling Static and Dynamic Protein Structure from 2D Infrared Spectrum with Stochastic Interpolant
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mRNA-GPT: End-to-end Generative Design and Optimization of Full-length mRNA
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MutaGen: Implicitly Guided Protein Evolution from Ranked Feedback via Pair-Based Discrete Flow Matching
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OmegAMP: Targeted AMP Discovery via Biologically Informed Generation
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On improving experimental binding affinity predictions with synthetic data
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Origin-1: Experimentally Validated Generative AI Platform for De Novo Antibody Design Against “Zero-Prior” Epitopes
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pCoMole: Pareto-Constrained Molecule Editing with Discrete Flows
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PeptiVerse: A Unified Platform for Therapeutic Peptide Property Prediction
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PMO-Dock: Benchmarking Docking, Specificity and Generalization in Molecular Optimization
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PRISM: A Hybrid Diffusion-Reinforcement Learning Framework for 3D Structure-based De Novo Design
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Protein Autoregressive Modeling via Multiscale Structure Generation
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Reading TEA leaves for de novo protein design
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S2S2Fun: Decoding Protein Function From Latent Structural Representations
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Sample Efficient Generative Molecular Optimization with Joint Self-Improvement
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Scalable Inference-Time Annealing for Continuous Normalizing Flows
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Search-Based Inference-Time Scaling for All-Atom Protein Binder Design
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Sequence Design and Phylogenetic Inference with Generative Flow Networks
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SNOOPPI: Sequence-Normalized Database of On- and Off-Target Protein-Protein Interactions
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Structural plausibility without binding specificity: limits of AI-based antibody-antigen structure prediction scores
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SynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles
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Synthesis-constrained discrete diffusion for ionizable lipid generation
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Synthetic RNA Evolution Enables Accurate Alignment-Free 3D Structure Prediction
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TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
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The Mechanistic Invariance Test: Genomic Language Models Fail To Learn Positional Regulatory Logic
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Towards A Generative Protein Evolution Machine with DPLM-Evo
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TOWARDS UNDERSTANDING HYBRID PROTEIN LANGUAGE MODEL DESIGN: A SYSTEMATIC ABLATION AND INTERPRETABILITY STUDY