"drug discovery" Papers

19 papers found

AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation

Wenyu Zhu, Jianhui Wang, Bowen Gao et al.

NeurIPS 2025posterarXiv:2506.05768

Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction

Zhiqiang Zhong, Davide Mottin

NeurIPS 2025poster

ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning

Xiangru Tang, Tianyu Hu, Muyang Ye et al.

ICLR 2025poster
4
citations

DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction

Yupu Zhang, Zelin Xu, Tingsong Xiao et al.

NeurIPS 2025posterarXiv:2507.06366
1
citations

Efficient Biological Data Acquisition through Inference Set Design

Ihor Neporozhnii, Julien Roy, Emmanuel Bengio et al.

ICLR 2025posterarXiv:2410.19631
2
citations

Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows

Xiangxin Zhou, Yi Xiao, Haowei Lin et al.

ICLR 2025posterarXiv:2503.03989
1
citations

MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds

Leon Hetzel, Johanna Sommer, Bastian Rieck et al.

ICLR 2025poster
2
citations

OligoGym: Curated Datasets and Benchmarks for Oligonucleotide Drug Discovery

Rachapun Rotrattanadumrong, Carlo De Donno

NeurIPS 2025poster

PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching

Daniel Rose, Oliver Wieder, Thomas Seidel et al.

ICLR 2025posterarXiv:2409.06316
2
citations

Rethinking Graph Prompts: Unraveling the Power of Data Manipulation in Graph Neural Networks

Chenyi Zi, Bowen LIU, Xiangguo SUN et al.

ICLR 2025poster

Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design

Leo Klarner, Tim G. J. Rudner, Garrett Morris et al.

ICML 2024poster

Data-Efficient Molecular Generation with Hierarchical Textual Inversion

Seojin Kim, Jaehyun Nam, Sihyun Yu et al.

ICML 2024poster

Entropy-Reinforced Planning with Large Language Models for Drug Discovery

Xuefeng Liu, Chih-chan Tien, Peng Ding et al.

ICML 2024poster

Predicting Dose-Response Curves with Deep Neural Networks

Pedro A. Campana, Paul Prasse, Tobias Scheffer

ICML 2024poster

Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models

Songtao Liu, Hanjun Dai, Yue Zhao et al.

ICML 2024poster

Projecting Molecules into Synthesizable Chemical Spaces

Shitong Luo, Wenhao Gao, Zuofan Wu et al.

ICML 2024poster

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

Lirong Wu, Yufei Huang, Cheng Tan et al.

AAAI 2024paperarXiv:2402.08198
18
citations

Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design

Quan Nguyen, Adji Bousso Dieng

ICML 2024poster

Text-Guided Molecule Generation with Diffusion Language Model

Haisong Gong, Qiang Liu, Shu Wu et al.

AAAI 2024paperarXiv:2402.13040
38
citations