Fitxers

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2015

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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/132509

Insight into the binding of DFG-out allosteric inhibitors to B-Raf Kinase using molecular dynamics and free energy calculations

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Recurs relacionat

https://doi.org/10.2174/1573409911666150702100245

Resum

B-Raf mutations are identified in 40-50% of patients with melanoma and among them, the substitution of valine for glutamic acid at position 600 (V600EB-Raf) is the most frequent. Treatment of these patients with B-Raf inhibitors has been associated with a clear clinical benefit. Unfortunately, multiple resistance mechanisms have been identified and new potent and selective inhibitors are currently needed. In this work, five different type II inhibitors, which bind V600EB-Raf in its DFG-out conformation, have been studied using molecular dynamics, free energy calculations and energy decomposition analysis. The ranking of calculated MM-PB/GBSA binding affinities is in good agreement with the experimentally measured ones. The per-residue decomposition of ΔGbinding, within the MM-GBSA approach, has been used to identify the key residues governing the allosteric binding of the studied compounds to the V600EB-Raf protein kinase. Results indicate that although van der Waals interactions are key determinants for binding, hydrogen bonds also play an important role. This work also provides a better structural understanding of the binding of DFG-out inhibitors to V600EB-Raf, which can be used in a further step for rational design of a new class of B-Raf potent inhibitors.

Matèries

Disseny de medicaments, Dinàmica molecular

Matèries (anglès)

Drug design, Molecular dynamics

Citació

Col·leccions

Articles publicats en revistes (Farmacologia, Toxicologia i Química Terapèutica)
Articles publicats en revistes (Ciència dels Materials i Química Física)

Citació

CORONEL, Luis, et al. Insight into the binding of DFG-out allosteric inhibitors to B-Raf Kinase using molecular dynamics and free energy calculations. Current Computer-Aided Drug Design. 2015. Vol. 11, num. 2, pags. 124-136. ISSN 1573-4099. [consulted: 25 of June of 2026]. Available at: https://hdl.handle.net/2445/132509

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