V
Vijay H. Masand
Researcher at Josip Juraj Strossmayer University of Osijek
Publications - 92
Citations - 1277
Vijay H. Masand is an academic researcher from Josip Juraj Strossmayer University of Osijek. The author has contributed to research in topics: Quantitative structure–activity relationship & Chemistry. The author has an hindex of 18, co-authored 76 publications receiving 931 citations.
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Journal ArticleDOI
Synthesis, biological evaluation, and docking studies of 3-(substituted)-aryl-5-(9-methyl-3-carbazole)-1H-2-pyrazolines as potent anti-inflammatory and antioxidant agents.
Babasaheb P. Bandgar,Laxman K. Adsul,Hemant V. Chavan,Shivkumar S. Jalde,Sadanand N. Shringare,Rafique Shaikh,Rohan J. Meshram,Rajesh N. Gacche,Vijay H. Masand +8 more
TL;DR: Molecular docking result, along with the biological assay data, suggested that compound 5c was a potential anti-inflammatory agent.
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PyDescriptor : A new PyMOL plugin for calculating thousands of easily understandable molecular descriptors
Vijay H. Masand,Vesna Rastija +1 more
TL;DR: An innovative chem-informatics tool, PyDescriptor, which can calculate a diverse pool of 11,145 molecular descriptors comprising easily understandable 1D- to 3D- descriptors encoding pharmacophoric patterns, atomic fragments and a variety of fingerprints.
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Synthesis, characterization, and molecular docking analysis of novel benzimidazole derivatives as cholinesterase inhibitors.
Yeong Keng Yoon,Mohamed Ashraf Ali,Mohamed Ashraf Ali,Ang Chee Wei,Tan Soo Choon,Kooi Yeong Khaw,Vikneswaran Murugaiyah,Hasnah Osman,Vijay H. Masand +8 more
TL;DR: Of the 34 novel synthesized compounds, three benzimidazoles revealed AChE inhibition with IC50<10 μM, and the relationship between lipophilicity and the chemical structures as well as their limited structure-activity relationship was discussed.
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Effect of information leakage and method of splitting (rational and random) on external predictive ability and behavior of different statistical parameters of QSAR model
Vijay H. Masand,Devidas T. Mahajan,G. M. Nazeruddin,Taibi Ben Hadda,Vesna Rastija,Ahmed M. Alfeefy +5 more
TL;DR: The analysis reveals that the predictive ability of a QSAR model is sensitive toward the method of splitting and the distribution of the training and the prediction sets, and that as many as possible statistical parameters should be examined along with boot-strapping instead of single external validation.
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Quinazoline-tyrphostin as a new class of antitumor agents, molecular properties prediction, synthesis and biological testing.
Ahmed M. Alafeefy,Saleh I. Alqasoumi,Abdelkader E. Ashour,Vijay H. Masand,Nabila A. Al-Jaber,Taibi Ben Hadda,Menshawy A. Mohamed,Menshawy A. Mohamed +7 more
TL;DR: A new series of substituted quinazolin-4-(3H)-one-tyrphostin derivatives was prepared and screened for their cytotoxic activity against three tumor cell lines, namely human breast cancer cell line, human cervical cancer cell lines and human hepatocellular liver carcinoma cell line using the colorimetric MTT assay.