ADMET Predictor - An overview of prediction and evaluation of ADMET properties of drug and chemicals
Payal Gunwant Borole
, Mr.A.N.Khadse
Computational tools, Risk, Score, Validation, ADMET properties, Computer Aided Drug Design (CADD), Swiss ADME.
Chemical absorption, distribution, metabolism, excretion and toxicity (ADMET) play key roles in the drug discovery and development. This covers the physicochemical properties of drugs, PH and solubility and approaches to improving aqueous solubility as well as drug metabolism and drug interactions. Followed by recent development on databases particularly related to the ADMET profiling and prediction. We consider advances in statistical modelling techniques, molecular descriptors and sets of data used for model building and changes in the way in which predictive ADMET models are being applied in drug discovery. The largest pharmaceutical companies have developed large in house databases containing consistently measured compound properties. A Computer Aided Drug Design (CADD) approach involving virtual screening was used to obtain binding scores and inhibiting efficiencies of previously known antibiotics. ADMET analysis carried out using ADMET SAR–2 software. Various experimental and computational methods have been developed to obtain ADME properties in an economical manner in terms of time and cost. As in vitro and in vivo experimental data on ADME have accumulated the accuracy of in silico models in ADME increases. In silico ADME analysis is not dangerous, simpler and quicker. One main reason for R and D failures is the efficacy and safety deficiencies which are largely related to absorption, distribution, metabolism and excretion (ADME) properties and various toxicities.
"ADMET Predictor - An overview of prediction and evaluation of ADMET properties of drug and chemicals ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 3, page no.178 - 185, March-2024, Available :https://ijsdr.org/papers/IJSDR2403028.pdf
Volume 9
Issue 3,
March-2024
Pages : 178 - 185
Paper Reg. ID: IJSDR_210320
Published Paper Id: IJSDR2403028
Downloads: 000347149
Research Area: Pharmacy
Country: Nashik, Maharashtra , India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
