Author

Vishal B. Siramshetty

GenentechORCID 0000-0002-5980-8288Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:benchmark study· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Akshat Shirish ZalteiD· 1 shared Alan C. ChengiD· 1 shared Alexander G. GodfreyiD· 1 shared Andreas BenderiD· 1 shared Arijit PatraiD· 1 shared Biju Mathew· 1 shared Busola Grillo· 1 shared Cas WognumiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Akshat Shirish ZalteORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Model Validation Protocols for Machine Learning in Small Molecule Drug Discovery

Srijit Seal, Akshat Shirish Zalte, David Alencar Araripe, Renan Augusto Gomes, Deepa Korani, Mrinal Shekhar, Vishal B. Siramshetty, Arijit Patra, Zhongyu Mou, Xiang Yu, Daniel Kühn, Nils Weskamp, Jeremy R. Ash, Alan C. Cheng, Cheng Fang, , Cas Wognum

The paper presents a model validation framework for molecular property prediction models in drug discovery, revealing four failure modes and showing that common evaluation protocols overestimate performance.

bioRxiv · Aug 24, 2026 · PreprintBioinformatics

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 V. Grishagin, Laura Brovold, Ewy A. Mathé, Matthew D. Hall, Samuel G. Michael, , Tudor Ionel Oprea

The paper presents a workflow for integrating diverse datasets to build a network pharmacology resource for COVID-19 research, resulting in a Neo4j graph database named Neo4COVID19.

Journal of Chemical Information and Modeling · Jan 20, 2022Peer-reviewedSystems Biology