Author

B. Ravikumar

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biochemistry· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 3 Approach:statistical model· 3 Approach:deep learning· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

A. Cichonska· 2 shared T. Aittokallio· 2 shared A. Lamb· 1 shared A. Schlessinger· 1 shared C. Al-Masri· 1 shared C. I. Wells· 1 shared D. Ebner· 1 shared D. H. Drewry· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 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

2 shared papersBiochemistry

A. Cichonska

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures

C. Al-Masri, F. Trozzi, M. Patek, A. Cichonska, B. Ravikumar, R. Rahman

This study examines AlphaFold2-predicted conformational states of protein kinases and evaluates their utility for drug discovery.

bioRxiv · Dec 2, 2022 · PreprintBiochemistry

Optimized chemogenomic library design strategies for precision oncology

P. Athanasiadis, B. Ravikumar, N. O. Carragher, P. A. Clemons, T. Johanssen, D. Ebner, T. Aittokallio

The paper presents strategies for designing optimized chemogenomic libraries for precision oncology, focusing on cancer-related targets and biological pathways.

bioRxiv · Nov 30, 2020Cancer Biology

Crowdsourced mapping of unexplored target space of kinase inhibitors

A. Cichonska, B. Ravikumar, R. J. Allaway, S. Park, F. Wan, O. Isayev, S. Li, M. J. Mason, A. Lamb, Z.-u.-R. Tanoli, M. Jeon, S. Kim, M. Popova, S. Capuzzi, J. Zeng, , T. Aittokallio

The paper benchmarks predictive models for kinase inhibitor potencies using crowdsourced data and identifies new compound-kinase interactions.

bioRxiv · Dec 31, 2019Biochemistry