Umar, Abdullahi Bello published the artcileQSAR and Docking Studies on Some Potential Anti-Cancer Agents to Predict their Effect on M14 Melanoma Cell Line, HPLC of Formula: 1455-77-2, the main research area is melanoma cell QSAR mol docking.
Abstract: The global incidence of melanoma cancer is increasing rapidly and its metastatic form causes high mortality rates. The research report illustrates the development of a quant. structure-activity relationship (QSAR) to predict the activities (pGI50) of some anti-cancer agents on melanoma cancer cell line. Subsequently, most potent compounds that showed better pGI50 activities were selected and screened via Lipinskis rule of five for drug likeness, ADMET risk parameters and lastly docking simulation studies was performed to elucidate their binding mode. Kennard-Stone algorithm was adopted for the data division, the genetic function algorithm was employed for variable selection and multiple linear regressions method was utilized for model development. The derived QSAR model showed, resp. acceptable [R2 (0.805), R2adjusted (0.773), Qcv2 (0.754) and R2pred (0.703)]. The obtained cRP2 for Y-randomization is 0.649, and applicability-domain (A-D) was assessed via leveraged method. Among the screened compounds via Lipinskis rule of five for oral bioavailability, ADMET risk filter for drug-like features and Docking simulation studies, compound 18 and 25 were identified as the best ligands having the better interactions energies (- 150.679 kcal mol-1 and – 176.246 kcal mol-1) and showed better interactions with the receptor than vemurafenib (- 147.245 kcal mol-1). Thus, the results of this research would be helpful in identification of lead mol. and optimization of novel drug.
Chemistry Africa published new progress about Algorithm. 1455-77-2 belongs to class isoquinoline, name is 3,5-Diamino-1,2,4-triazole, and the molecular formula is C2H5N5, HPLC of Formula: 1455-77-2.
Referemce:
Isoquinoline – Wikipedia,
Isoquinoline | C9H7N – PubChem