D Benito Johnson, Gurinderdeep Singh, Deeksha Sharma, Venkatesan Natarajan, Knv Chenchu Lakshmi, Ram C Dhakar, Sadhana R Shahi, Suresh Velayutham, Ruchi Tiwari
{"title":"探索 ADME 的计算进展:药物处置的基本见解。","authors":"D Benito Johnson, Gurinderdeep Singh, Deeksha Sharma, Venkatesan Natarajan, Knv Chenchu Lakshmi, Ram C Dhakar, Sadhana R Shahi, Suresh Velayutham, Ruchi Tiwari","doi":"10.62958/j.cjap.2024.033","DOIUrl":null,"url":null,"abstract":"<p><p>The physicochemical properties of the physiological makeup and the chemical componentof the system make this challenging throughout strenuous procedure. The current review concentrated on in silico modelling of drug disposition, involving absorption process, distribution process, and excretion process and includes thorough knowledge of various database expeditions, the development of a pharmacophore model, molecular docking studies, homology modelling supported sequence similarity and quantitative structure-activity relationships (QSAR)/ quantitative structure-property relationships (QSPR) evaluation along with all information about drug movement and related computational tools for understanding potential chemical and pathophysiological changes. The primary development in ADMET modeling in current times has been the clarification of the function and effective modeling of various transporters. In ADMET modelling, there is still work to be done on including the impact of these transporters into existing models. The present state of modelling different elements of drug disposal at the systemic level will then be discussed, along with recent developments in modelling a wide range of active transporters and their effects on drug pharmacokinetic profiles. A more thorough knowledge of the underlying processes governing different aspects of drug disposition should also lead to an increase in mechanism-based modelling methods that are simple to grasp and put into practice. These developments will hasten the transition of model construction from computational to experimental scientists.</p>","PeriodicalId":23985,"journal":{"name":"Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology","volume":"40 ","pages":"e20240033"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring Computational Advancements in ADME: Essential Insights for Drug Disposition.\",\"authors\":\"D Benito Johnson, Gurinderdeep Singh, Deeksha Sharma, Venkatesan Natarajan, Knv Chenchu Lakshmi, Ram C Dhakar, Sadhana R Shahi, Suresh Velayutham, Ruchi Tiwari\",\"doi\":\"10.62958/j.cjap.2024.033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The physicochemical properties of the physiological makeup and the chemical componentof the system make this challenging throughout strenuous procedure. The current review concentrated on in silico modelling of drug disposition, involving absorption process, distribution process, and excretion process and includes thorough knowledge of various database expeditions, the development of a pharmacophore model, molecular docking studies, homology modelling supported sequence similarity and quantitative structure-activity relationships (QSAR)/ quantitative structure-property relationships (QSPR) evaluation along with all information about drug movement and related computational tools for understanding potential chemical and pathophysiological changes. The primary development in ADMET modeling in current times has been the clarification of the function and effective modeling of various transporters. In ADMET modelling, there is still work to be done on including the impact of these transporters into existing models. The present state of modelling different elements of drug disposal at the systemic level will then be discussed, along with recent developments in modelling a wide range of active transporters and their effects on drug pharmacokinetic profiles. A more thorough knowledge of the underlying processes governing different aspects of drug disposition should also lead to an increase in mechanism-based modelling methods that are simple to grasp and put into practice. These developments will hasten the transition of model construction from computational to experimental scientists.</p>\",\"PeriodicalId\":23985,\"journal\":{\"name\":\"Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology\",\"volume\":\"40 \",\"pages\":\"e20240033\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.62958/j.cjap.2024.033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62958/j.cjap.2024.033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Exploring Computational Advancements in ADME: Essential Insights for Drug Disposition.
The physicochemical properties of the physiological makeup and the chemical componentof the system make this challenging throughout strenuous procedure. The current review concentrated on in silico modelling of drug disposition, involving absorption process, distribution process, and excretion process and includes thorough knowledge of various database expeditions, the development of a pharmacophore model, molecular docking studies, homology modelling supported sequence similarity and quantitative structure-activity relationships (QSAR)/ quantitative structure-property relationships (QSPR) evaluation along with all information about drug movement and related computational tools for understanding potential chemical and pathophysiological changes. The primary development in ADMET modeling in current times has been the clarification of the function and effective modeling of various transporters. In ADMET modelling, there is still work to be done on including the impact of these transporters into existing models. The present state of modelling different elements of drug disposal at the systemic level will then be discussed, along with recent developments in modelling a wide range of active transporters and their effects on drug pharmacokinetic profiles. A more thorough knowledge of the underlying processes governing different aspects of drug disposition should also lead to an increase in mechanism-based modelling methods that are simple to grasp and put into practice. These developments will hasten the transition of model construction from computational to experimental scientists.