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Updated: May 2, 2026

Identification of Kinase-substrate Pairs Using High Throughput Screening
Published on: August 29, 2015
Activation pathway of Src kinase reveals intermediate states as targets for drug design
Diwakar Shukla1, Yilin Meng2, Benoît Roux3
11] Department of Chemistry, Stanford University, Stanford, California 94305, USA [2] SIMBIOS NIH Center for biomedical computation, Stanford University, Stanford, California 94305, USA.
Abstract:
Unregulated activation of Src kinases leads to aberrant signalling, uncontrolled growth and differentiation of cancerous cells. Reaching a complete mechanistic understanding of large-scale conformational transformations underlying the activation of kinases could greatly help in the development of therapeutic drugs for the treatment of these pathologies. In principle, the nature of conformational transition could be modelled in silico via atomistic molecular dynamics simulations, although this is very challenging because of the long activation timescales. Here we employ a computational paradigm that couples transition pathway techniques and Markov state model-based massively distributed simulations for mapping the conformational landscape of c-src tyrosine kinase. The computations provide the thermodynamics and kinetics of kinase activation for the first time, and help identify key structural intermediates. Furthermore, the presence of a novel allosteric site in an intermediate state of c-src that could be potentially used for drug design is predicted.
Insights
Understanding Src kinase activation is key to cancer therapy. This study maps kinase conformational changes, revealing new drug targets for cancer treatment.
Area of Science:
- Biophysics
- Computational Biology
- Cancer Research
Background:
- Unregulated Src kinase activation drives cancer by promoting aberrant cell signaling, growth, and differentiation.
- A deep mechanistic understanding of kinase activation dynamics is crucial for developing targeted cancer therapies.
- Simulating these large-scale conformational changes in silico is computationally challenging due to long activation timescales.
Purpose of the Study:
- To computationally map the conformational landscape of c-src tyrosine kinase activation.
- To elucidate the thermodynamics and kinetics governing kinase activation.
- To identify key structural intermediates and potential allosteric drug-binding sites.
Main Methods:
- Coupling transition pathway techniques with Markov state model-based massively distributed simulations.
- Utilizing atomistic molecular dynamics simulations to model kinase conformational transitions.
- Analyzing the conformational landscape of c-src tyrosine kinase.
Main Results:
- The study provides the first computational insights into the thermodynamics and kinetics of c-src tyrosine kinase activation.
- Key structural intermediates involved in the kinase activation process were identified.
- A novel allosteric site in an intermediate state of c-src was predicted, offering potential for drug design.
Conclusions:
- This computational approach successfully maps the complex conformational landscape of kinase activation.
- The identified intermediates and novel allosteric site represent promising avenues for developing new kinase-targeted cancer drugs.
- Mechanistic insights into Src kinase activation can significantly aid in the design of more effective cancer therapeutics.
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