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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | ADMET Predictor - An overview of prediction and evaluation of ADMET properties of drug and chemicals |
| Authors Name: | Payal Gunwant Borole , Mr.A.N.Khadse |
| Unique Id: | IJSDR2403028 |
| Published In: | Volume 9 Issue 3, March-2024 |
| Abstract: | 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. |
| Keywords: | Computational tools, Risk, Score, Validation, ADMET properties, Computer Aided Drug Design (CADD), Swiss ADME. |
| Cite Article: | "ADMET Predictor - An overview of prediction and evaluation of ADMET properties of drug and chemicals ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 3, page no.178 - 185, March-2024, Available :http://www.ijsdr.org/papers/IJSDR2403028.pdf |
| Downloads: | 000337364 |
| Publication Details: | Published Paper ID: IJSDR2403028 Registration ID:210320 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: 178 - 185 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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