Identification of novel tyrosine kinase inhibitors for drug resistant T315I mutant BCR-ABL: a virtual screening and molecular dynamics simulations study

被引:69
作者
Banavath, Hemanth Naick [1 ]
Sharma, Om Prakash [2 ]
Kumar, Muthuvel Suresh [2 ]
Baskaran, R. [1 ]
机构
[1] Pondicherry Univ, Sch Life Sci, Dept Biochem & Mol Biol, Pondicherry, India
[2] Pondicherry Univ, Sch Life Sci, Ctr Bioinformat, Pondicherry, India
关键词
DENSITY-FUNCTIONAL THEORY; ACCURATE PREDICTION; IMATINIB; DOCKING; PROTEIN; DOMAIN; AFFINITY; PROGRAM; BIOLOGY; AP24534;
D O I
10.1038/srep06948
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
BCR-ABL tyrosine kinase plays a major role in the pathogenesis of chronic myeloid leukemia (CML) and is a proven target for drug development. Currently available drugs in the market are effective against CML; however, side-effects and drug-resistant mutations in BCR-ABL limit their full potential. Using high throughput virtual screening approach, we have screened several small molecule databases and docked against wild-type and drug resistant T315I mutant BCR-ABL. Drugs that are currently available, such as imatinib and ponatinib, were also docked against BCR-ABL protein to set a cutoff value for our screening. Selected lead compounds were further evaluated for chemical reactivity employing density functional theory approach, all selected ligands shows HLG value. > 0.09900 and the binding free energy between protein-ligand complex interactions obtained was rescored using MM-GBSA. The selected compounds showed least Delta G score -71.53 KJ/mol to maximum -126.71 KJ/mol in both wild type and drug resistant T315I mutant BCR-ABL. Following which, the stability of the docking complexes were evaluated by molecular dynamics simulation (MD) using GROMACS4.5.5. Results uncovered seven lead molecules, designated with Drug-Bank and PubChem ids as DB07107, DB06977, ST013616, DB04200, ST007180 ST019342, and DB01172, which shows docking scores higher than imatinib and ponatinib.
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页数:11
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