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Vijay K Gombar

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Recent Articles
1.
Ford L, Lin H, Zhou Y, Wright F, Gombar V, Sedykh A, et al.
Hum Genomics . 2024 Sep; 18(1):92. PMID: 39218963
Per- and poly-fluoroalkyl substances (PFAS) are emerging contaminants of concern because of their wide use, persistence, and potential to be hazardous to both humans and the environment. Several PFAS have...
2.
Sedykh A, Shah R, Kleinstreuer N, Auerbach S, Gombar V
Chem Res Toxicol . 2020 Dec; 34(2):634-640. PMID: 33356152
Molecular structure-based predictive models provide a proven alternative to costly and inefficient animal testing. However, due to a lack of interpretability of predictive models built with abstract molecular descriptors they...
3.
Gombar V, Hall S
J Chem Inf Model . 2013 Mar; 53(4):948-57. PMID: 23451981
Reliable prediction of two fundamental human pharmacokinetic (PK) parameters, systemic clearance (CL) and apparent volume of distribution (Vd), determine the size and frequency of drug dosing and are at the...
4.
Bercu J, Morton S, Deahl J, Gombar V, Callis C, van Lier R
Regul Toxicol Pharmacol . 2010 Apr; 57(2-3):300-6. PMID: 20363275
The current risk assessment approach for addressing the safety of very small concentrations of genotoxic impurities (GTIs) in drug substances is the threshold of toxicological concern (TTC). The TTC is...
5.
Gombar V, Polli J, Humphreys J, Wring S, Serabjit-Singh C
J Pharm Sci . 2004 Mar; 93(4):957-68. PMID: 14999732
A quantitative structure-activity relationship (QSAR) model has been developed to predict whether a given compound is a P-glycoprotein (Pgp) substrate or not. The training set consisted of 95 compounds classified...
6.
Shen M, Xiao Y, Golbraikh A, Gombar V, Tropsha A
J Med Chem . 2003 Jun; 46(14):3013-20. PMID: 12825940
Computational ADME (absorption, distribution, metabolism, and excretion) models may be used early in the drug discovery process in order to flag drug candidates with potentially problematic ADME profiles. We report...
7.
Gombar V, Silver I, Zhao Z
Curr Top Med Chem . 2003 May; 3(11):1205-25. PMID: 12769701
Drug discovery is a long, arduous process broadly grouped into disease target identification, target validation, high-throughput identification of "hits" and "leads", lead optimization, and pre-clinical and clinical evaluation. Each area...