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Payel Das — most-cited papers & profile · AI for Science
← authors
·
overview
Payel Das
39
papers ·
287
citations ·
36
h-index
IBM (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Protein Representation Learning by Geometric Structure Pretraining
2022 · 40 citations
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
2020 · 36 citations
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
2021 · 32 citations
A Systematic Study of Joint Representation Learning on Protein Sequences and Structures
2023 · 27 citations
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
2018 · 20 citations
Biological Sequence Design with GFlowNets
2022 · 20 citations
Data-Efficient Graph Grammar Learning for Molecular Generation
2022 · 18 citations
GP-MoLFormer: A Foundation Model For Molecular Generation
2024 · 11 citations
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
2023 · 11 citations
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
2022 · 9 citations
Structure-Informed Protein Language Model
2024 · 8 citations
Fourier Representations for Black-Box Optimization over Categorical Variables
2022 · 5 citations
Accelerating Material Design with the Generative Toolkit for Scientific Discovery
2022 · 5 citations
Explaining Chemical Toxicity using Missing Features
2020 · 4 citations
Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
2020 · 3 citations
Top co-authors
Vijil Chenthamarakshan
· 21
Inkit Padhi
· 6
Samuel C. Hoffman
· 6
Aur\'elie Lozano
· 5
Zuobai Zhang
· 5
Jian Tang
· 4
Pin-Yu Chen
· 4
Youssef Mroueh
· 4
Brian Belgodere
· 3
Igor Melnyk
· 3
Jiarui Lu
· 3
Kahini Wadhawan
· 3
Topics
Drug Discovery
Chemistry
Protein Science
Materials
Genomics
Medical AI
Physics ML
Math & Equations