Discriminating activating, deactivating and resistance variants in protein kinases
Our predictors, together with the rapid experimental validations, demonstrates a feasible strategy for identifying activating variants in kinases in a time frame that would enable clinical decisions.
Authors
- Gurdeep Singh (ORCID: https://orcid.org/0000-0001-9766-672X)
- Torsten Schmenger (ORCID: https://orcid.org/0000-0002-4335-9035)
- Cristina López (ORCID: https://orcid.org/0000-0001-6644-1659)
- Rocı́o Sotillo (ORCID: https://orcid.org/0000-0002-0855-7917)
- Pablo Mozas (ORCID: https://orcid.org/0000-0001-9528-4971)
- Gaurav D. Diwan (ORCID: https://orcid.org/0000-0003-3928-3020)
- Reiner Siebert (ORCID: https://orcid.org/0000-0002-6492-5323)
- Juan Carlos González‐Sánchez (ORCID: https://orcid.org/0000-0002-7493-3669)
- Anastasiia Kutkina
- Nina Bremec
- Robert B. Russell (ORCID: https://orcid.org/0000-0002-1905-4717)
Institutions
- Universität Ulm (DE)
- Heidelberg University (DE)
- Hospital Clínic de Barcelona (ES)
- German Center for Lung Research (DE)
- Fundació Clínic per a la Recerca Biomèdica (ES)
- Centro de Investigación Biomédica en Red de Cáncer (ES)
- Universitat de Barcelona (ES)
Publication Details
- Journal
- Genome Medicine
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1186/s13073-025-01564-z
- Primary Topic
- Cancer Mechanisms and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Zhejiang University