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Vijil Chenthamarakshan โ most-cited papers & profile ยท AI for Science
โ authors
ยท
overview
Vijil Chenthamarakshan
25
papers ยท
216
citations ยท
20
h-index
IBM (United States) ยท IBM Research (China)
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Protein Representation Learning by Geometric Structure Pretraining
2022 ยท 40 citations
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
2020 ยท 36 citations
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
2021 ยท 32 citations
A Systematic Study of Joint Representation Learning on Protein Sequences and Structures
2023 ยท 27 citations
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
2018 ยท 20 citations
GP-MoLFormer: A Foundation Model For Molecular Generation
2024 ยท 11 citations
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
2023 ยท 11 citations
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
2022 ยท 9 citations
Structure-Informed Protein Language Model
2024 ยท 8 citations
Accelerating Material Design with the Generative Toolkit for Scientific Discovery
2022 ยท 5 citations
Explaining Chemical Toxicity using Missing Features
2020 ยท 4 citations
Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
2020 ยท 3 citations
Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model
2021 ยท 2 citations
Aligning Protein Conformation Ensemble Generation with Physical Feedback
2025 ยท 1 citations
Cloud-Based Real-Time Molecular Screening Platform with MolFormer
2022 ยท 1 citations
Top co-authors
Payel Das
ยท 21
Inkit Padhi
ยท 6
Aur\'elie Lozano
ยท 5
Samuel C. Hoffman
ยท 5
Zuobai Zhang
ยท 5
Brian Belgodere
ยท 4
Jian Tang
ยท 4
Youssef Mroueh
ยท 4
Igor Melnyk
ยท 3
Jiarui Lu
ยท 3
Minghao Xu
ยท 3
Pin-Yu Chen
ยท 3
Topics
Drug Discovery
Chemistry
Protein Science
Materials
Genomics
Medical AI
Physics ML