| Drug target commons: a community effort to build a consensus knowledge base for drug-target interactions J Tang, B Ravikumar, Z Alam, A Rebane, M Vähä-Koskela, G Peddinti, ... Cell chemical biology 25 (2), 224-229. e2, 2018 | 154 | 2018 |
| Computational-experimental approach to drug-target interaction mapping: a case study on kinase inhibitors A Cichonska, B Ravikumar, E Parri, S Timonen, T Pahikkala, A Airola, ... PLoS computational biology 13 (8), e1005678, 2017 | 125 | 2017 |
| Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery B Ravikumar, T Aittokallio Expert opinion on drug discovery 13 (2), 179-192, 2018 | 82 | 2018 |
| Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 3307, 2021 | 76 | 2021 |
| Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles ZR Tanoli, Z Alam, M Vähä-Koskela, B Ravikumar, A Malyutina, A Jaiswal, ... Database 2018, bay083, 2018 | 65 | 2018 |
| Chemogenomic analysis of the druggable kinome and its application to repositioning and lead identification studies B Ravikumar, S Timonen, Z Alam, E Parri, K Wennerberg, T Aittokallio Cell chemical biology 26 (11), 1608-1622. e6, 2019 | 22 | 2019 |
| AI for targeted polypharmacology: The next frontier in drug discovery A Cichońska, B Ravikumar, R Rahman Current Opinion in Structural Biology 84, 102771, 2024 | 20 | 2024 |
| C-SPADE: a web-tool for interactive analysis and visualization of drug screening experiments through compound-specific bioactivity dendrograms B Ravikumar, Z Alam, G Peddinti, T Aittokallio Nucleic acids research 45 (W1), W495-W500, 2017 | 17 | 2017 |
| Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures C Al-Masri, F Trozzi, SH Lin, O Tran, N Sahni, M Patek, A Cichonska, ... Bioinformatics Advances 3 (1), vbad129, 2023 | 14 | 2023 |
| Chemogenomic library design strategies for precision oncology, applied to phenotypic profiling of glioblastoma patient cells P Athanasiadis, B Ravikumar, RJR Elliott, JC Dawson, NO Carragher, ... Iscience 26 (7), 2023 | 3 | 2023 |
| Leveraging multiple data types for improved compound-kinase bioactivity prediction R Theisen, T Wang, B Ravikumar, R Rahman, A Cichońska Nature Communications 15 (1), 7596, 2024 | 2 | 2024 |
| Optimized chemogenomic library design strategies for precision oncology P Athanasiadis, B Ravikumar, NO Carragher, PA Clemons, T Johanssen, ... bioRxiv, 2020.11. 30.403329, 2020 | 1 | 2020 |
| Advancements in Rational Multi‐Targeted Drug Discovery: Improving the Efficacy‐Safety Balance of Small Molecule Cancer Therapeutics B Ravikumar, A Cichońska, N Sahni, T Aittokallio, R Rahman Polypharmacology: Strategies for Multi‐Target Drug Discovery, 109-125, 2025 | | 2025 |
| CCGM: a Compound Coarse Grain Model representation for enhanced chemotype exploration, annotation and screening N Sahni, M Patek, R Rahman, B Ravikumar bioRxiv, 2024.12. 16.628696, 2024 | | 2024 |
| Leveraging Machine Learning and AlphaFold2 Steering to Discover State-Specific Inhibitors Across the Kinome F Trozzi, O Tran, C Al Masri, SH Lin, B Ravikumar, R Rahman bioRxiv, 2024.08. 16.608358, 2024 | | 2024 |
| Computational frameworks to aid pharmacological studies: Tools, Databases and Prediction models B Ravikumar Helsingin yliopisto, 2020 | | 2020 |
| Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions B Ravikumar, G Repasky, K Wennerberg, T Aittokallio | | 2018 |
| TOOLS, DATABASESAND PREDICTION MODELS B Ravikumar | | |
