ProfessorsProfessors of Temple UniversityKirubakaran Palani

Kirubakaran Palani

Temple University

H-index: 12

North America-United States

About Kirubakaran Palani

Kirubakaran Palani, With an exceptional h-index of 12 and a recent h-index of 9 (since 2020), a distinguished researcher at Temple University, specializes in the field of Structural Bioinformatics, Computer-aided drug design, Molecular dynamics, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

MDFit: Automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics

Poor Generalization by Current Deep Learning Models for Predicting Binding Affinities of Kinase Inhibitors

Rationalizing PROTAC-mediated ternary complex formation using Rosetta

Comparative modeling of CDK9 Inhibitors to explore selectivity and structure-activity relationships

Kirubakaran Palani Information

University	Temple University
Position	Postdoctoral Associate, Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia, United States
Citations(all)	469
Citations(since 2020)	285
Cited By	285
hIndex(all)	12
hIndex(since 2020)	9
i10Index(all)	12
i10Index(since 2020)	8
Email	Access Email
University Profile Page	Temple University
Google Scholar	View Google Scholar Profile

Kirubakaran Palani Skills & Research Interests

Structural Bioinformatics

Computer-aided drug design

Molecular dynamics

Deep Learning

Top articles of Kirubakaran Palani

Title	Journal	Author(s)	Publication Date
MDFit: Automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics		Alexander Brueckner Benjamin Shields Palani Kirubakaran Alexander Suponya Manoranjan Panda ...	2024/1/24
Poor Generalization by Current Deep Learning Models for Predicting Binding Affinities of Kinase Inhibitors	bioRxiv	Wern Juin Gabriel Ong Palani Kirubakaran John Karanicolas	2023/9/6
Rationalizing PROTAC-mediated ternary complex formation using Rosetta	Journal of chemical information and modeling	Nan Bai Sven A Miller Grigorii V Andrianov Max Yates Palani Kirubakaran ...	2021/2/24
Comparative modeling of CDK9 Inhibitors to explore selectivity and structure-activity relationships	bioRxiv	Palani Kirubakaran George Morton Pingfeng Zhang Hanghang Zhang John Gordon ...	2020/6/9