Towards predicting the cytochrome P450 modulation: From QSAR to proteochemometric modeling

©2017 Bentham Science Publishers. Drug metabolism determines the fate of a drug when it enters the human body and is a critical factor in defining their absorption, distribution, metabolism, excretion and toxicity (ADMET) characteristics. Among the various drug metabolizing enzymes, cytochrome P450s...

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Main Authors: Watshara Shoombuatong, Philip Prathipati, Veda Prachayasittikul, Nalini Schaduangrat, Aijaz Ahmad Malik, Reny Pratiwi, Sompon Wanwimolruk, Jarl E.S. Wikberg, Matthew Paul Gleeson, Ola Spjuth, Chanin Nantasenamat
Other Authors: Mahidol University
Format: Review
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/41880
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spelling th-mahidol.418802019-03-14T15:02:53Z Towards predicting the cytochrome P450 modulation: From QSAR to proteochemometric modeling Watshara Shoombuatong Philip Prathipati Veda Prachayasittikul Nalini Schaduangrat Aijaz Ahmad Malik Reny Pratiwi Sompon Wanwimolruk Jarl E.S. Wikberg Matthew Paul Gleeson Ola Spjuth Chanin Nantasenamat Mahidol University National Institutes of Biomedical Innovation Uppsala Universitet Kasetsart University Biochemistry, Genetics and Molecular Biology ©2017 Bentham Science Publishers. Drug metabolism determines the fate of a drug when it enters the human body and is a critical factor in defining their absorption, distribution, metabolism, excretion and toxicity (ADMET) characteristics. Among the various drug metabolizing enzymes, cytochrome P450s (CYP450) constitute an important protein family that aside from functioning in xenobiotic metabolism, is also responsible for a diverse array of other roles encompassing steroid and cholesterol biosynthesis, fatty acid metabolism, calcium homeostasis, neuroendocrine functions and growth regulation. Although CYP450 typically converts xenobiotics into safe metabolites, there are some situations whereby the metabolite is more toxic than its parent molecule. Computational modeling has been instrumental in CYP450 research by rationalizing the nature of the binding event (i.e. inhibit or induce CYP450s) or metabolic stability of query compounds of interest. A plethora of computational approaches encompassing ligand, structure and systems based approaches have been utilized to model CYP450-ligand interactions. This review provides a brief background on the CYP450 family (i.e. its roles, advantages and disadvantages as well as its modulators) and then discusses the various computational approaches that have been used to model CYP450-ligand interaction. Particular focus was given to the use of quantitative structure-Activity relationship (QSAR) and more recent proteochemometric modeling studies. Finally, a perspective on the current state of the art and future trends of the field is also provided. 2018-12-21T06:48:10Z 2019-03-14T08:02:53Z 2018-12-21T06:48:10Z 2019-03-14T08:02:53Z 2017-06-01 Review Current Drug Metabolism. Vol.18, No.6 (2017), 540-555 10.2174/1389200218666170320121932 18755453 13892002 2-s2.0-85027831498 https://repository.li.mahidol.ac.th/handle/123456789/41880 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85027831498&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Biochemistry, Genetics and Molecular Biology
spellingShingle Biochemistry, Genetics and Molecular Biology
Watshara Shoombuatong
Philip Prathipati
Veda Prachayasittikul
Nalini Schaduangrat
Aijaz Ahmad Malik
Reny Pratiwi
Sompon Wanwimolruk
Jarl E.S. Wikberg
Matthew Paul Gleeson
Ola Spjuth
Chanin Nantasenamat
Towards predicting the cytochrome P450 modulation: From QSAR to proteochemometric modeling
description ©2017 Bentham Science Publishers. Drug metabolism determines the fate of a drug when it enters the human body and is a critical factor in defining their absorption, distribution, metabolism, excretion and toxicity (ADMET) characteristics. Among the various drug metabolizing enzymes, cytochrome P450s (CYP450) constitute an important protein family that aside from functioning in xenobiotic metabolism, is also responsible for a diverse array of other roles encompassing steroid and cholesterol biosynthesis, fatty acid metabolism, calcium homeostasis, neuroendocrine functions and growth regulation. Although CYP450 typically converts xenobiotics into safe metabolites, there are some situations whereby the metabolite is more toxic than its parent molecule. Computational modeling has been instrumental in CYP450 research by rationalizing the nature of the binding event (i.e. inhibit or induce CYP450s) or metabolic stability of query compounds of interest. A plethora of computational approaches encompassing ligand, structure and systems based approaches have been utilized to model CYP450-ligand interactions. This review provides a brief background on the CYP450 family (i.e. its roles, advantages and disadvantages as well as its modulators) and then discusses the various computational approaches that have been used to model CYP450-ligand interaction. Particular focus was given to the use of quantitative structure-Activity relationship (QSAR) and more recent proteochemometric modeling studies. Finally, a perspective on the current state of the art and future trends of the field is also provided.
author2 Mahidol University
author_facet Mahidol University
Watshara Shoombuatong
Philip Prathipati
Veda Prachayasittikul
Nalini Schaduangrat
Aijaz Ahmad Malik
Reny Pratiwi
Sompon Wanwimolruk
Jarl E.S. Wikberg
Matthew Paul Gleeson
Ola Spjuth
Chanin Nantasenamat
format Review
author Watshara Shoombuatong
Philip Prathipati
Veda Prachayasittikul
Nalini Schaduangrat
Aijaz Ahmad Malik
Reny Pratiwi
Sompon Wanwimolruk
Jarl E.S. Wikberg
Matthew Paul Gleeson
Ola Spjuth
Chanin Nantasenamat
author_sort Watshara Shoombuatong
title Towards predicting the cytochrome P450 modulation: From QSAR to proteochemometric modeling
title_short Towards predicting the cytochrome P450 modulation: From QSAR to proteochemometric modeling
title_full Towards predicting the cytochrome P450 modulation: From QSAR to proteochemometric modeling
title_fullStr Towards predicting the cytochrome P450 modulation: From QSAR to proteochemometric modeling
title_full_unstemmed Towards predicting the cytochrome P450 modulation: From QSAR to proteochemometric modeling
title_sort towards predicting the cytochrome p450 modulation: from qsar to proteochemometric modeling
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/41880
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