Vishal B. Siramshetty

According to our database, Vishal B. Siramshetty authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Pharos 2023: an integrated resource for the understudied human proteome.

Keith J. Kelleher, Timothy Sheils, Stephen L. Mathias, Jeremy J. Yang, Vincent T. Metzger, Vishal B. Siramshetty, Dac-Trung Nguyen, Lars Juhl Jensen, Dusica Vidovic, Stephan C. Schürer, Jayme Holmes, Karlie R. Sharma, Ajay Pillai, Cristian Bologa, Jeremy S. Edwards, Ewy A Mathé, Tudor I. Oprea

Nucleic Acids Res., January, 2023

2022

NCATS Inxight Drugs: a comprehensive and curated portal for translational research.

Vishal B. Siramshetty, Ivan Grishagin, Ðac-Trung Nguyen, Tyler Peryea, Yulia Skovpen, Oleg Stroganov, Daniel Katzel, Timothy Sheils, Ajit Jadhav, Ewy A Mathé, Noel Southall

Nucleic Acids Res., 2022

A Workflow of Integrated Resources to Catalyze Network Pharmacology Driven COVID-19 Research.

Gergely Zahoránszky-Köhalmi, Vishal B. Siramshetty, Praveen Kumar, Manideep Gurumurthy, Busola Grillo, Biju Mathew, Dimitrios Metaxatos, Mark Backus, Tim Mierzwa, Reid Simon, Ivan Grishagin, Laura Brovold, Ewy A Mathé, Matthew D. Hall, Samuel G. Michael, Alexander G. Godfrey, Jordi Mestres, Lars Juhl Jensen, Tudor I. Oprea

J. Chem. Inf. Model., 2022

2021

TCRD and Pharos 2021: mining the human proteome for disease biology.

Timothy Sheils, Stephen L. Mathias, Keith J. Kelleher, Vishal B. Siramshetty, Dac-Trung Nguyen, Cristian Bologa, Lars Juhl Jensen, Dusica Vidovic, Amar Koleti, Stephan C. Schürer, Anna Waller, Jeremy J. Yang, Jayme Holmes, Giovanni Bocci, Noel Southall, Poorva Dharkar, Ewy A Mathé, Anton Simeonov, Tudor I. Oprea

Nucleic Acids Res., 2021

Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods.

Sankalp Jain, Vishal B. Siramshetty, Vinicius M. Alves, Eugene N. Muratov, Nicole C. Kleinstreuer, Alexander Tropsha, Marc C. Nicklaus, Anton Simeonov, Alexey V. Zakharov

J. Chem. Inf. Model., 2021

2020

Critical Assessment of Artificial Intelligence Methods for Prediction of hERG Channel Inhibition in the "Big Data" Era.

Vishal B. Siramshetty, Dac-Trung Nguyen, Natalia J. Martinez, Noel Southall, Anton Simeonov, Alexey V. Zakharov

J. Chem. Inf. Model., 2020

Predicting liver cytosol stability of small molecules.

Pranav Shah, Vishal B. Siramshetty, Alexey V. Zakharov, Noel Southall, Xin Xu, Dac-Trung Nguyen

J. Cheminformatics, 2020

2019

Cheminformatics Approaches to Drug Discovery (From Knowledgebases to Toxicity Prediction and Promiscuity Assessment)

Vishal B. Siramshetty

PhD thesis, 2019

2018

SuperDRUG2: a one stop resource for approved/marketed drugs.

Vishal B. Siramshetty, Andreas Eckert, Björn-Oliver Gohlke, Andrean Goede, Qiaofeng Chen, Prashanth Devarakonda, Saskia Preissner, Robert Preissner

Nucleic Acids Res., 2018

Exploring Activity Profiles of PAINS and Their Structural Context in Target-Ligand Complexes.

Vishal B. Siramshetty, Robert Preissner, Björn-Oliver Gohlke

J. Chem. Inf. Model., 2018

The Catch-22 of Predicting hERG Blockade Using Publicly Accessible Bioactivity Data.

Vishal B. Siramshetty, Qiaofeng Chen, Prashanth Devarakonda, Robert Preissner

J. Chem. Inf. Model., 2018

2016

WITHDRAWN - a resource for withdrawn and discontinued drugs.

Vishal B. Siramshetty, Janette Nickel, Christian Omieczynski, Björn-Oliver Gohlke, Malgorzata N. Drwal, Robert Preissner

Nucleic Acids Res., 2016

Computational methods for prediction of in vitro effects of new chemical structures.

Priyanka Banerjee, Vishal B. Siramshetty, Malgorzata N. Drwal, Robert Preissner

J. Cheminformatics, 2016