Literature DB >> 9690173

MTD-ADJ: a multiconformational minimal topologic difference for determining bioactive conformers using adjusted biological activities.

T Sulea1, L Kurunczi, T I Oprea, Z Simon.   

Abstract

The active conformation is part of a conformational mixture with experimental activity Yexp, and is used in QSAR studies to extract more information regarding the ligand-receptor interaction. To reflect the relative amount (alpha) of the active conformation, we adjust Yexp: Yadj = Yexp - log alpha. We establish a quantitative structure-activity relationship (QSAR) between Yadj and 3D conformational characteristics for the acetylcholinesterase (AChE) hydrolysis rates of 25 acetic esters. The 3D-QSAR model was obtained using the adjusted multiconformational minimal steric/topologic difference (MTD-ADJ) method, optimizing the receptor map based on Yadj for each conformer. Yadj was updated during each step of the optimization process. alpha and Yadj are based on the Boltzmann distribution calculated using AMI (MOPAC 6.0) relative energies of the COSMIC 90 derived conformers. The MTD-ADJ results are: (i) the 3D-QSAR models obtained by this procedure have significant statistical parameters and are similar to the unadjusted (MTD-MC, using Yexp) models; (ii) the selected bioactive conformations are extended, occupy cavity vertices and, for the same structures, have the same MTD value; and (iii) the optimized conformational map of the neutral ligands obtained from the MTD-ADJ model fits well in the active site of the crystallographic structure of AChE (from Torpedo californica). We propose a neutral ligands binding site model for AChE. Our results show that MTD-ADJ, which can be implemented in any 3D-QSAR method, is capable of providing additional information regarding the active conformations, and can be used to gain further insight into the ligand-receptor models for which no structural data are available.

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Year:  1998        PMID: 9690173     DOI: 10.1023/a:1007913622673

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  8 in total

1.  Atomic structure of acetylcholinesterase from Torpedo californica: a prototypic acetylcholine-binding protein.

Authors:  J L Sussman; M Harel; F Frolow; C Oefner; A Goldman; L Toker; I Silman
Journal:  Science       Date:  1991-08-23       Impact factor: 47.728

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3.  Strategic approaches to drug design. I. An integrated software framework for molecular modelling.

Authors:  J G Vinter; A Davis; M R Saunders
Journal:  J Comput Aided Mol Des       Date:  1987-04       Impact factor: 3.686

4.  Open "back door" in a molecular dynamics simulation of acetylcholinesterase.

Authors:  M K Gilson; T P Straatsma; J A McCammon; D R Ripoll; C H Faerman; P H Axelsen; I Silman; J L Sussman
Journal:  Science       Date:  1994-03-04       Impact factor: 47.728

5.  Relationship between the inhibition constant (K1) and the concentration of inhibitor which causes 50 per cent inhibition (I50) of an enzymatic reaction.

Authors:  Y Cheng; W H Prusoff
Journal:  Biochem Pharmacol       Date:  1973-12-01       Impact factor: 5.858

6.  Anionic subsites of the catalytic center of acetylcholinesterase from Torpedo and from cobra venom.

Authors:  H J Kreienkamp; C Weise; R Raba; A Aaviksaar; F Hucho
Journal:  Proc Natl Acad Sci U S A       Date:  1991-07-15       Impact factor: 11.205

7.  The active site and partial sequence of cobra venom acetylcholinesterase.

Authors:  C Weise; H J Kreienkamp; R Raba; A Aaviksaar; F Hucho
Journal:  J Protein Chem       Date:  1990-02

8.  COSMIC(90): an improved molecular mechanics treatment of hydrocarbons and conjugated systems.

Authors:  S D Morley; R J Abraham; I S Haworth; D E Jackson; M R Saunders; J G Vinter
Journal:  J Comput Aided Mol Des       Date:  1991-10       Impact factor: 3.686

  8 in total
  2 in total

1.  Novel semi-automated methodology for developing highly predictive QSAR models: application for development of QSAR models for insect repellent amides.

Authors:  Jayendra B Bhonsle; Apurba K Bhattacharjee; Raj K Gupta
Journal:  J Mol Model       Date:  2006-09-20       Impact factor: 1.810

2.  Rigorous treatment of multispecies multimode ligand-receptor interactions in 3D-QSAR: CoMFA analysis of thyroxine analogs binding to transthyretin.

Authors:  Senthil Natesan; Tiansheng Wang; Viera Lukacova; Vladimir Bartus; Akash Khandelwal; Stefan Balaz
Journal:  J Chem Inf Model       Date:  2011-04-08       Impact factor: 4.956

  2 in total

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