<?xml version="1.0" encoding="utf-8"?>
<Journal>
<Journal-Info>
<name>International Journal of Pharma and Bio Sciences</name>
<website>ijpbs.net</website>
<email>editorijpbs@rediffmail.com (or) editorofijpbs@yahoo.com (or) prasmol@rediffmail.com</email>
</Journal-Info>
<article>
<article-id pub-id-type='other'>10.22376/ijpbs.2019.10.1.p1-12</article-id>
<issue_number>Volume 3 Issue 3</issue_number>
<issue_period>2012 (July - September)</issue_period>
<title>Selectivity Requirement Of Estrogen Receptor Ligands: Modeling Of Furan And Pyrazole Derivatives </title>
<abstract>Chemometric techniques become vital tools in the field of drug discovery by exploring chemical entity with optimistic efficacy. In the present work, a group of non-steroidal ligands, furan and pyrazole derivatives are considered to explore the structural requirement for binding selectivity to estrogen receptor (ER). 2D/3D quantitative structure activity relationship (QSAR) and pharmacophore space modeling studies have been explored for this purpose. The classical QSAR models ( lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan α lessThan /sub greaterThan  lessThan /i greaterThan =0.871,  lessThan i greaterThan Q lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan α lessThan /sub greaterThan  lessThan /i greaterThan =0.807,  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan pred-α lessThan /sub greaterThan  lessThan /i greaterThan =0.739;  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan β lessThan /sub greaterThan  lessThan /i greaterThan =0.906,  lessThan i greaterThan Q lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan β lessThan /sub greaterThan  lessThan /i greaterThan =0.876,  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan pred-β lessThan /sub greaterThan  lessThan /i greaterThan =0.764) explain that contribution of electronic charges of C lessThan sub greaterThan 4 lessThan /sub greaterThan , C lessThan sub greaterThan 8 lessThan /sub greaterThan  and C lessThan sub greaterThan 24 lessThan /sub greaterThan  for α-subtype, and C lessThan sub greaterThan 2 lessThan /sub greaterThan , C lessThan sub greaterThan 18 lessThan /sub greaterThan  and C lessThan sub greaterThan 24 lessThan /sub greaterThan  of β-subtype are important for binding affinity. In 3D QSAR, field analysis models (CoMFA:  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan α lessThan /sub greaterThan  lessThan /i greaterThan =0.990,  lessThan i greaterThan Q lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan α lessThan /sub greaterThan  lessThan /i greaterThan =0.635,  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan pred-α lessThan /sub greaterThan  lessThan /i greaterThan =0.646;  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan β lessThan /sub greaterThan  lessThan /i greaterThan =0.970,  lessThan i greaterThan Q lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan β lessThan /sub greaterThan  lessThan /i greaterThan =0.544,  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan pred-β lessThan /sub greaterThan  lessThan /i greaterThan =0.646) are obtained with importance of steric and electrostatic fields for both subtypes, whereas similarity analysis models (CoMSIA:  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan α lessThan /sub greaterThan  lessThan /i greaterThan =0.995,  lessThan i greaterThan Q lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan α lessThan /sub greaterThan  lessThan /i greaterThan =0.691,  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan pred-α lessThan /sub greaterThan  lessThan /i greaterThan =0.580;  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan β lessThan /sub greaterThan  lessThan /i greaterThan =0.956,  lessThan i greaterThan Q lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan β lessThan /sub greaterThan  lessThan /i greaterThan =0.663,  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan pred-β lessThan /sub greaterThan  lessThan /i greaterThan =0.693) revealed that steric, hydrophobic and hydrogen bond (HB) acceptor are prime factors for both α- and β-subtypes. Space modeling studies ( lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan α lessThan /sub greaterThan  lessThan /i greaterThan =0.941,  lessThan i greaterThan Q lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan α lessThan /sub greaterThan  lessThan /i greaterThan =0.872,  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan pred-α lessThan /sub greaterThan  lessThan /i greaterThan =0.721;  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan β lessThan /sub greaterThan  lessThan /i greaterThan =0.867,  lessThan i greaterThan Q lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan β lessThan /sub greaterThan  lessThan /i greaterThan =0.831,  lessThan i greaterThan R lessThan sup greaterThan 2 lessThan /sup greaterThan  lessThan sub greaterThan pred-β lessThan /sub greaterThan  lessThan /i greaterThan =0.687) indicate the importance of HB donor and hydrophobic features for both subtypes and aromatic ring for β-subtype for selective binding to the ER. The pharmacophore features obtained from the models are substantiated by molecular docking studies.</abstract>
<authors>Md Ataul Islam And Achintya Saha</authors>
<keywords>SERMs, QSAR, CoMFA, CoMSIA, Pharmacophore mapping, Molecular Docking</keywords>
<pages>359-371</pages>
</article>
</Journal>
