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Exploration of structural and physicochemical requirements and search of virtual hits for aminopeptidase N inhibitors

Identifieur interne : 000587 ( Istex/Corpus ); précédent : 000586; suivant : 000588

Exploration of structural and physicochemical requirements and search of virtual hits for aminopeptidase N inhibitors

Auteurs : Amit K. Halder ; Achintya Saha ; Tarun Jha

Source :

RBID : ISTEX:C1CE20E6432CC47C5327756143AAF60466E1E3EA

English descriptors

Abstract

Abstract: Aminopeptidase N (APN) inhibitors have been reported to be effective in treating of life threatening diseases including cancer. Validated ligand- and structure-based pharmacophore mapping approaches were combined with Bayesian modeling and recursive partitioning to identify structural and physicochemical requirements for highly active APN inhibitors. Based on the assumption that ligand- and structure-based pharmacophore models are complementary, the efficacy of ‘multiple pharmacophore screening’ for filtering true positive virtual hits was investigated. These multiple pharmacophore screening methods were utilized to search novel virtual hits for APN inhibition. The number of hits was refined and reduced by recursive partitioning, drug-likeliness, pharmacokinetic property prediction, and comparative molecular-docking studies. Four compounds were proposed as the potential virtual hits for APN enzyme inhibition.

Url:
DOI: 10.1007/s11030-013-9422-5

Links to Exploration step

ISTEX:C1CE20E6432CC47C5327756143AAF60466E1E3EA

Le document en format XML

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<ArticleTitle Language="En" OutputMedium="All">Exploration of structural and physicochemical requirements and search of virtual hits for aminopeptidase N inhibitors</ArticleTitle>
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<GivenName>Achintya</GivenName>
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<Para>Aminopeptidase N (APN) inhibitors have been reported to be effective in treating of life threatening diseases including cancer. Validated ligand- and structure-based pharmacophore mapping approaches were combined with Bayesian modeling and recursive partitioning to identify structural and physicochemical requirements for highly active APN inhibitors. Based on the assumption that ligand- and structure-based pharmacophore models are complementary, the efficacy of ‘multiple pharmacophore screening’ for filtering true positive virtual hits was investigated. These multiple pharmacophore screening methods were utilized to search novel virtual hits for APN inhibition. The number of hits was refined and reduced by recursive partitioning, drug-likeliness, pharmacokinetic property prediction, and comparative molecular-docking studies. Four compounds were proposed as the potential virtual hits for APN enzyme inhibition.</Para>
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<Keyword>Pharmacophore mapping</Keyword>
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<DefinitionListEntry>
<Term>APN</Term>
<Description>
<Para>Aminopeptidase N</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>A</Term>
<Description>
<Para>Hydrogen-bond acceptor</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>BD</Term>
<Description>
<Para>Binding database</Para>
</Description>
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<Description>
<Para>Hydrogen-bond donor</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>MFASA</Term>
<Description>
<Para>Molecular fractional polar surface area</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>MPSA</Term>
<Description>
<Para>Molecular polar surface area</Para>
</Description>
</DefinitionListEntry>
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<Description>
<Para>Molecular weight</Para>
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HBA</Term>
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<Para>Number of hydrogen-bond acceptor</Para>
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HBD</Term>
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ArR</Term>
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</Description>
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</DefinitionListEntry>
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<Para>Recursive partition</Para>
</Description>
</DefinitionListEntry>
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<abstract lang="en">Abstract: Aminopeptidase N (APN) inhibitors have been reported to be effective in treating of life threatening diseases including cancer. Validated ligand- and structure-based pharmacophore mapping approaches were combined with Bayesian modeling and recursive partitioning to identify structural and physicochemical requirements for highly active APN inhibitors. Based on the assumption that ligand- and structure-based pharmacophore models are complementary, the efficacy of ‘multiple pharmacophore screening’ for filtering true positive virtual hits was investigated. These multiple pharmacophore screening methods were utilized to search novel virtual hits for APN inhibition. The number of hits was refined and reduced by recursive partitioning, drug-likeliness, pharmacokinetic property prediction, and comparative molecular-docking studies. Four compounds were proposed as the potential virtual hits for APN enzyme inhibition.</abstract>
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<topic>Molecular docking</topic>
<topic>Virtual hits</topic>
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<topic>APN : Aminopeptidase N</topic>
<topic>A : Hydrogen-bond acceptor</topic>
<topic>BD : Binding database</topic>
<topic>D : Hydrogen-bond donor</topic>
<topic>MFASA : Molecular fractional polar surface area</topic>
<topic>MPSA : Molecular polar surface area</topic>
<topic>MW : Molecular weight</topic>
<topic>$$n$$ HBA : Number of hydrogen-bond acceptor</topic>
<topic>$$n$$ HBD : Number of hydrogen-bond donor</topic>
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<topic>$$n$$ RB : Number of rotatable bonds</topic>
<topic>$$n$$ PA : Number of positive atoms</topic>
<topic>$$n$$ R : Number of rings</topic>
<topic>$$n$$ ArR : Number of aromatic rings</topic>
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