Helix-Coil Transition Signatures B-Raf V600E Mutation and Virtual Screening for Inhibitors Directed Against Mutant

Srinivas Bandaru1, Tharaparambil Gangadharan Sumithnath2, Saphy Sharda3

  • 1Institute of Genetics and Hospital for Genetic Diseases, Osmania University, Hyderabad - 500 016, Telangana, India.

Abstract

Insights

The BRAF V600E mutation causes cancer and structural changes. Computational methods identified a new, high-affinity inhibitor, SCHEMBL298689, with good drug-like properties.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Drug Discovery

Background:

  • The BRAF V600E mutation is a key driver in various cancers, making it a significant therapeutic target.
  • Understanding the functional and structural impact of this mutation is crucial for developing effective treatments.

Purpose of the Study:

  • To elucidate the functional and structural basis of the BRAF V600E mutation.
  • To identify novel small molecules with improved pharmacological profiles as potential BRAF inhibitors using computational approaches.

Main Methods:

  • Functional effects of the V600E mutation were predicted using SIFT and Polyphen servers.
  • Protein structural changes were analyzed using SDM server and RMSD calculations.
  • Virtual screening of known BRAF inhibitors was performed to identify similar compounds with high affinity and favorable ADMET properties.

Main Results:

  • The V600E mutation was predicted to be highly detrimental, causing irregular protein secondary structures and unsaturated hydrogen bonds.
  • Structural analysis revealed helix-coil transitions in mutated BRAF, with specific residues adopting coiled conformations.
  • Virtual screening identified SCHEMBL298689, similar to Vemurafenib, as a high-affinity BRAF inhibitor with low toxicity and optimal bioactivity.

Conclusions:

  • The study provides structural and functional insights into BRAF V600E mutations, highlighting helix-coil transitions.
  • A novel, high-affinity compound (SCHEMBL298689) targeting V600E BRAF was identified through virtual screening.