Literature DB >> 11812258

The linear interaction energy method for predicting ligand binding free energies.

J Aqvist1, J Marelius.   

Abstract

An overview of the simplified linear interaction energy (LIE) method for calculation of ligand binding free energies is given. This method is based on force field estimations of the receptor-ligand interactions and thermal conformational sampling. A notable feature is that the binding energetics can be predicted by considering only the intermolecular interactions between the ligand and receptor. The approximations behind this approach are examined and different parametrizations of the model are discussed. In general, LIE type of methods appear particularly useful for computational drug lead optimization.

Mesh:

Substances:

Year:  2001        PMID: 11812258     DOI: 10.2174/1386207013330661

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  40 in total

1.  Correlation between biological activity and binding energy in systems of integrin with cyclic RGD-containing binders: a QM/MM molecular dynamics study.

Authors:  Mingli Xiang; Yuchun Lin; Gu He; Lijuan Chen; Mingli Yang; Shengyong Yang; Yirong Mo
Journal:  J Mol Model       Date:  2012-06-27       Impact factor: 1.810

2.  Steered molecular dynamics simulations of ligand-receptor interaction in lipocalins.

Authors:  Janne Kalikka; Jaakko Akola
Journal:  Eur Biophys J       Date:  2010-11-13       Impact factor: 1.733

3.  Oxidative inhibition of Hsp90 disrupts the super-chaperone complex and attenuates pancreatic adenocarcinoma in vitro and in vivo.

Authors:  Sayantani Sarkar; Devawati Dutta; Suman Kumar Samanta; Kaushik Bhattacharya; Bikas Chandra Pal; Jinping Li; Kaustubh Datta; Chhabinath Mandal; Chitra Mandal
Journal:  Int J Cancer       Date:  2012-07-09       Impact factor: 7.396

4.  Molecular dynamics of a protein surface: ion-residues interactions.

Authors:  Ran Friedman; Esther Nachliel; Menachem Gutman
Journal:  Biophys J       Date:  2005-05-13       Impact factor: 4.033

5.  A combination of docking, QM/MM methods, and MD simulation for binding affinity estimation of metalloprotein ligands.

Authors:  Akash Khandelwal; Viera Lukacova; Dogan Comez; Daniel M Kroll; Soumyendu Raha; Stefan Balaz
Journal:  J Med Chem       Date:  2005-08-25       Impact factor: 7.446

6.  Theoretical calculations of the catalytic triad in short-chain alcohol dehydrogenases/reductases.

Authors:  Osman A B S M Gani; Olayiwola A Adekoya; Laura Giurato; Francesca Spyrakis; Pietro Cozzini; Salvatore Guccione; Jan-Olof Winberg; Ingebrigt Sylte
Journal:  Biophys J       Date:  2007-11-02       Impact factor: 4.033

7.  Toward Fast and Accurate Binding Affinity Prediction with pmemdGTI: An Efficient Implementation of GPU-Accelerated Thermodynamic Integration.

Authors:  Tai-Sung Lee; Yuan Hu; Brad Sherborne; Zhuyan Guo; Darrin M York
Journal:  J Chem Theory Comput       Date:  2017-06-23       Impact factor: 6.006

Review 8.  Molecular modeling of nucleic acid structure: energy and sampling.

Authors:  T E Cheatham; B R Brooks; P A Kollman
Journal:  Curr Protoc Nucleic Acid Chem       Date:  2001-05

Review 9.  Computational methods of studying the binding of toxins from venomous animals to biological ion channels: theory and applications.

Authors:  Dan Gordon; Rong Chen; Shin-Ho Chung
Journal:  Physiol Rev       Date:  2013-04       Impact factor: 37.312

10.  Assessment of free energy predictors for ligand binding to a methyllysine histone code reader.

Authors:  Cen Gao; J Martin Herold; Dmitri Kireev
Journal:  J Comput Chem       Date:  2011-12-20       Impact factor: 3.376

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.