Saved in:
| Main Authors: | Kim, Hyunseung, Choi, Haeyeon, Kang, Dongju, Lee, Won Bo, Na, Jonggeol |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2303.11833 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improved Off-policy Reinforcement Learning in Biological Sequence Design
by: Kim, Hyeonah, et al.
Published: (2024)
by: Kim, Hyeonah, et al.
Published: (2024)
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
by: Wang, Danqing, et al.
Published: (2024)
by: Wang, Danqing, et al.
Published: (2024)
Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities
by: Li, Kun, et al.
Published: (2025)
by: Li, Kun, et al.
Published: (2025)
Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation
by: Park, Jinyeong, et al.
Published: (2024)
by: Park, Jinyeong, et al.
Published: (2024)
mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties
by: Patel, Sawan, et al.
Published: (2026)
by: Patel, Sawan, et al.
Published: (2026)
Interpreting GFlowNets for Drug Discovery: Extracting Actionable Insights for Medicinal Chemistry
by: S, Amirtha Varshini A, et al.
Published: (2025)
by: S, Amirtha Varshini A, et al.
Published: (2025)
Morphology-Aware Peptide Discovery via Masked Conditional Generative Modeling
by: Costa, Nuno, et al.
Published: (2025)
by: Costa, Nuno, et al.
Published: (2025)
Graph Neural Networks in Modern AI-aided Drug Discovery
by: Zhang, Odin, et al.
Published: (2025)
by: Zhang, Odin, et al.
Published: (2025)
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
by: Lee, Minji, et al.
Published: (2024)
by: Lee, Minji, et al.
Published: (2024)
Learning Hierarchical Interaction for Accurate Molecular Property Prediction
by: Hong, Huiyang, et al.
Published: (2025)
by: Hong, Huiyang, et al.
Published: (2025)
Utilizing Reinforcement Learning for de novo Drug Design
by: Svensson, Hampus Gummesson, et al.
Published: (2023)
by: Svensson, Hampus Gummesson, et al.
Published: (2023)
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
by: Wang, Dannong, et al.
Published: (2024)
by: Wang, Dannong, et al.
Published: (2024)
HELM-BERT: A Transformer for Medium-sized Peptide Property Prediction
by: Lee, Seungeon, et al.
Published: (2025)
by: Lee, Seungeon, et al.
Published: (2025)
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
by: Gao, Bowen, et al.
Published: (2024)
by: Gao, Bowen, et al.
Published: (2024)
Diversity-Aware Reinforcement Learning for de novo Drug Design
by: Svensson, Hampus Gummesson, et al.
Published: (2024)
by: Svensson, Hampus Gummesson, et al.
Published: (2024)
Protein Discovery with Discrete Walk-Jump Sampling
by: Frey, Nathan C., et al.
Published: (2023)
by: Frey, Nathan C., et al.
Published: (2023)
PUFFIN: Protein Unit Discovery with Functional Supervision
by: Uludoğan, Gökçe, et al.
Published: (2026)
by: Uludoğan, Gökçe, et al.
Published: (2026)
Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
by: Wang, Yan, et al.
Published: (2024)
by: Wang, Yan, et al.
Published: (2024)
Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design
by: Vogt, Yannick, et al.
Published: (2023)
by: Vogt, Yannick, et al.
Published: (2023)
Enhancing Molecular Design through Graph-based Topological Reinforcement Learning
by: Zhang, Xiangyu
Published: (2024)
by: Zhang, Xiangyu
Published: (2024)
BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design
by: Vogt, Yannick, et al.
Published: (2024)
by: Vogt, Yannick, et al.
Published: (2024)
RNAGenScape: Property-Guided, Optimized Generation of mRNA Sequences with Manifold Langevin Dynamics
by: Liao, Danqi, et al.
Published: (2025)
by: Liao, Danqi, et al.
Published: (2025)
Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization
by: Bergues, Noémie, et al.
Published: (2025)
by: Bergues, Noémie, et al.
Published: (2025)
Conditional Chemical Language Models are Versatile Tools in Drug Discovery
by: Zhu, Lu, et al.
Published: (2025)
by: Zhu, Lu, et al.
Published: (2025)
How Evaluation Choices Distort the Outcome of Generative Drug Discovery
by: Özçelik, Rıza, et al.
Published: (2024)
by: Özçelik, Rıza, et al.
Published: (2024)
Improving Targeted Molecule Generation through Language Model Fine-Tuning Via Reinforcement Learning
by: Ahmed, Salma J., et al.
Published: (2024)
by: Ahmed, Salma J., et al.
Published: (2024)
Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship
by: Ko, Eunji, et al.
Published: (2024)
by: Ko, Eunji, et al.
Published: (2024)
Guided Generation for Developable Antibodies
by: Zhao, Siqi, et al.
Published: (2025)
by: Zhao, Siqi, et al.
Published: (2025)
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
by: Kuang, Taojie, et al.
Published: (2023)
by: Kuang, Taojie, et al.
Published: (2023)
A Foundation Chemical Language Model for Comprehensive Fragment-Based Drug Discovery
by: Ho, Alexander, et al.
Published: (2025)
by: Ho, Alexander, et al.
Published: (2025)
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?
by: Cao, Hanqun, et al.
Published: (2025)
by: Cao, Hanqun, et al.
Published: (2025)
BERT Learns (and Teaches) Chemistry
by: Payne, Josh, et al.
Published: (2020)
by: Payne, Josh, et al.
Published: (2020)
Contrastive Multi-Task Learning with Solvent-Aware Augmentation for Drug Discovery
by: Lan, Jing, et al.
Published: (2025)
by: Lan, Jing, et al.
Published: (2025)
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
by: Tagasovska, Nataša, et al.
Published: (2024)
by: Tagasovska, Nataša, et al.
Published: (2024)
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
by: Klarner, Leo, et al.
Published: (2024)
by: Klarner, Leo, et al.
Published: (2024)
Cell Morphology-Guided Small Molecule Generation with GFlowNets
by: Lu, Stephen Zhewen, et al.
Published: (2024)
by: Lu, Stephen Zhewen, et al.
Published: (2024)
GeoDirDock: Guiding Docking Along Geodesic Paths
by: Miñán, Raúl, et al.
Published: (2024)
by: Miñán, Raúl, et al.
Published: (2024)
Function-Guided Conditional Generation Using Protein Language Models with Adapters
by: Yang, Jason, et al.
Published: (2024)
by: Yang, Jason, et al.
Published: (2024)
A Hitchhiker's Guide to Deep Chemical Language Processing for Bioactivity Prediction
by: Özçelik, Rıza, et al.
Published: (2024)
by: Özçelik, Rıza, et al.
Published: (2024)
ProteinGuide: On-the-fly property guidance for protein sequence generative models
by: Xiong, Junhao, et al.
Published: (2025)
by: Xiong, Junhao, et al.
Published: (2025)
Similar Items
-
Improved Off-policy Reinforcement Learning in Biological Sequence Design
by: Kim, Hyeonah, et al.
Published: (2024) -
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
by: Wang, Danqing, et al.
Published: (2024) -
Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities
by: Li, Kun, et al.
Published: (2025) -
Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation
by: Park, Jinyeong, et al.
Published: (2024) -
mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties
by: Patel, Sawan, et al.
Published: (2026)