QSAR modelling and molecular docking studies for anti-cancer compounds against melanoma cell line SK-MEL-2

Heliyon

Adamu Uzairu¹  Abdullahi Bello Umar²  Gideon Adamu Shallangwa³  Sani Uba³ 

[1] Department of Chemistry, Faculty of Physical Sciences, Ahmad Bello University, Zaria, P.M.B.1045 Kaduna State, Nigeria;Corresponding author.;Department of Chemistry, Faculty of Physical Sciences, Ahmad Bello University, Zaria, P.M.B.1045 Kaduna State, Nigeria;

关键词: Pharmaceutical chemistry;    Theoretical chemistry;    SK-MEL-2 cell line;    Melanoma;    QSAR;    Binding energy;   

DOI  :  

来源: DOAJ

【 摘 要 】

A dataset of seventy-two (72) cytotoxic compounds of the National Cancer Institute (NCI) was studied by QSAR and docking approaches to gain deeper insights into ligands selectivity on SK-MEL-2 cell line. The QSAR model was built using fifty (50) molecules and the best-generated model based on multiple linear regression showed, respectively good quality of fits (R2 (0.864), Radjusted2 (0.845), Q2cv (0.799) and Rpred2 (0.706)). The model's predictive ability was determined by a test set of twenty-two (22) compounds. Compounds 30 and 41 were selected as templates for in silico design because they had high pGI50 activity and are in the model's applicability domain. The obtained information from the model was explored to design novel molecules by introducing various modifications. Moreover, the designed compounds with better-predicted activity (pGI50) values were selected and docked on the active site of the protein (PDB-CODE: 3OG7) which is responsible for melanoma cancer to elucidate their binding mode. AN2 (−12.1kcalmol-1) and AC4 (−12.4kcalmol-1) showed a better binding score for the target when compared with (vemurafenib, −11.3kcalmol-1) the known inhibitor of the target (V600E-BRAF). These findings may be very helpful in early anti-cancer drug development.

【 授权许可】

Unknown