Literature DB >> 23305561

In silico physicochemical parameter predictions.

Mark C Wenlock1, Patrick Barton.   

Abstract

Drug discovery is a complex process with the aim of discovering efficacious molecules where their potency and selectivity are balanced against ADMET properties to set the appropriate dose and dosing interval. The link between physicochemical properties and molecular structure are well established. The subsequent connections between physicochemical properties and a drug's biological behavior provide an indirect link back to structure, facilitating the prediction of a biological property as a consequence of a particular molecular manipulation. Due to this understanding, during early drug discovery in vitro physicochemical property assays are commonly performed to eliminate compounds with properties commensurate with high attrition risks. However, the goal is to accurately predict physicochemical properties to prevent the synthesis of high risk compounds and hence minimize wasted drug discovery efforts. This paper will review the relevance to ADMET behaviors of key physicochemical properties, such as ionization, aqueous solubility, hydrogen bonding strength and hydrophobicity, and the in silico methodology for predicting them.

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Year:  2013        PMID: 23305561     DOI: 10.1021/mp300537k

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  10 in total

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8.  Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data.

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Review 9.  Cheminformatic Characterization of Natural Antimicrobial Products for the Development of New Lead Compounds.

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10.  Oral drug suitability parameters.

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Journal:  Medchemcomm       Date:  2018-02-05       Impact factor: 3.597

  10 in total

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