Exploring the
Functional Impact of KRAS Gene Mutations in Lung Cancer through Computational Analysis
Kizhakedathil Moni Philip Jacob, Chowdary Chandu, Koyye Rahul and Vijaykumar Sudarshana
Deepa
Res. J. Biotech.; Vol. 21(2); 153-159;
doi: https://doi.org/10.25303/212rjbt1530159; (2026)
Abstract
Lung cancer accounts for 12.3% of global cancer cases with variability across regions,
races and genders. Lung cancer involves oncogene activation, such as mutated KRAS
and tumor suppressor gene dysregulation like p53. KRAS mutations are commonly seen
in pancreatic, colorectal and lung cancers. These mutations disrupt normal cell
signaling and promote tumor growth. In this study, 63 KRAS mutations from 28,964
COSMIC database samples were analyzed.
The mutants were screened for their pathogenicity and nine highly deleterious mutations
were identified. The stability of the mutants was checked with that of the wild
type kras. Physiochemical properties were predicted using Protparam tools revealing
that the properties of the mutants showed no major deviations from the wild type.
The three-dimensional structures of the wild type and mutants were modelled using
Robetta and the structures were validated using MolProbity server. The KRAS wild
type and mutant structures were docked with Guanosine-5'-triphosphate (GTP) using
Autodock Vina. The results indicated that the mutant D57N exhibited more affinity
than the wild type and other mutants under study.
