Abstract:
:In this study, we used the Martini Coarse-Grained model with no applied restraints to predict the binding mode of some peptides to G-Protein Coupled Receptors (GPCRs). Both the Neurotensin-1 and the chemokine CXCR4 receptors were used as test cases. Their ligands, NTS8-13 and CVX15 peptides, respectively, were initially positioned in the surrounding water box. Using a protocol based on Replica Exchange Molecular Dynamics (REMD), both opening of the receptors and entry of the peptides into their dedicated pockets were observed on the μs time-scale. After clustering, the most statistically representative orientations were closely related to the X-ray structures of reference, sharing both RMSD lower than 3 Å and most of the native contacts. These results demonstrate that such a model, that does not require access to tremendous computational facilities, can be helpful in predicting peptide binding to GPCRs as well as some of the receptor's conformational changes required for this key step. We also discuss how such an approach can now help to predict, de novo, the interactions of GPCRs with other intra- or extracellular peptide/protein partners.
journal_name
J Chem Inf Modeljournal_title
Journal of chemical information and modelingauthors
Delort B,Renault P,Charlier L,Raussin F,Martinez J,Floquet Ndoi
10.1021/acs.jcim.6b00503subject
Has Abstractpub_date
2017-03-27 00:00:00pages
562-571issue
3eissn
1549-9596issn
1549-960Xjournal_volume
57pub_type
杂志文章abstract::Molecular channel exploration perseveres to be the prominent solution for eliciting structure and accessibility of active site and other internal spaces of macromolecules. The volume and silhouette characterization of these channels provides answers for the issues of substrate access and ligand swapping between the ob...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci200584f
更新日期:2012-02-27 00:00:00
abstract::Soluble low-molecular-weight oligomers formed during the early stage of amyloid aggregation are considered the major toxic species in amyloidosis. The structure-function relationship between oligomeric assemblies and the cytotoxicity in amyloid diseases are still elusive due to the heterogeneous and transient nature o...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.0c01319
更新日期:2021-01-14 00:00:00
abstract::Whereas 400 million distinct compounds are now purchasable within the span of a few weeks, the biological activities of most are unknown. To facilitate access to new chemistry for biology, we have combined the Similarity Ensemble Approach (SEA) with the maximum Tanimoto similarity to the nearest bioactive to predict a...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.7b00316
更新日期:2018-01-22 00:00:00
abstract::The prediction of protein-ligand binding affinity has recently been improved remarkably by machine-learning-based scoring functions. For example, using a set of simple descriptors representing the atomic distance counts, the RF-Score improves the Pearson correlation coefficient to about 0.8 on the core set of the PDBb...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.7b00049
更新日期:2017-04-24 00:00:00
abstract::Knowledge of the interactions between drugs and transporters is important for drug discovery and development as well as for the evaluation of their clinical safety. We recently developed a text-mining system for the automatic extraction of information on chemical-CYP3A4 interactions from the literature. This system is...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci4003188
更新日期:2013-10-28 00:00:00
abstract::How well do different classification methods perform in selecting the ligands of a protein target out of large compound collections not used to train the model? Support vector machines, random forest, artificial neural networks, k-nearest-neighbor classification with genetic-algorithm-optimized feature selection, tren...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci050519k
更新日期:2006-05-01 00:00:00
abstract::The Common Instrument Middleware Architecture (CIMA) aims at Grid-enabling a wide range of scientific instruments and sensors to enable easy access to and sharing and storage of data produced by these instruments and sensors. This paper describes the implementation of CIMA applied to the field of single-crystal X-ray ...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci050368l
更新日期:2006-05-01 00:00:00
abstract::Halogen bonds (XBs) are attracting increasing attention in biological systems. Protein Data Bank (PDB) archives experimentally determined XBs in biological macromolecules. However, no software for structure refinement in X-ray crystallography takes into account XBs, which might result in the weakening or even vanishin...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.7b00235
更新日期:2017-07-24 00:00:00
abstract::In this work we present the third generation of FAst MEtabolizer (FAME 3), a collection of extra trees classifiers for the prediction of sites of metabolism (SoMs) in small molecules such as drugs, druglike compounds, natural products, agrochemicals, and cosmetics. FAME 3 was derived from the MetaQSAR database ( Pedre...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.9b00376
更新日期:2019-08-26 00:00:00
abstract::The worldwide increase and proliferation of drug resistant microbes, coupled with the lag in new drug development, represents a major threat to human health. In order to reduce the time and cost for exploring the chemical search space, drug discovery increasingly relies on computational biology approaches. One key ste...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.0c00075
更新日期:2020-06-22 00:00:00
abstract::Compounds with high-confidence target annotations and activity measurements in the original and current release of the ChEMBL database have been compared to better understand how the growth of compound activity data might influence the spectrum of ligand-target interactions and the degree of target promiscuity among a...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci3003304
更新日期:2012-10-22 00:00:00
abstract::Novel statistical potentials derived from known protein structures are presented. They are designed to describe cation-pi and amino-pi interactions between a positively charged amino acid or an amino acid carrying a partially charged amino group and an aromatic moiety. These potentials are based on the propensity of r...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci050395b
更新日期:2006-03-01 00:00:00
abstract::Arachidonic acid is an essential fatty acid in cells, acting as a key inflammatory intermediate in inflammatory reactions. In cardiac tissues, CYP2J2 can adopt arachidonic acid as a major substrate to produce epoxyeicosatrienoic acids (EETs), which can protect endothelial cells from ischemic or hypoxic injuries and ha...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci400003p
更新日期:2013-06-24 00:00:00
abstract::Protein-ligand (PL) interactions play a key role in many life processes such as molecular recognition, molecular binding, signal transmission, and cell metabolism. Examples of interaction forces include hydrogen bonding, hydrophobic effects, steric clashes, electrostatic contacts, and van der Waals attractions. Curren...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.7b00310
更新日期:2018-01-22 00:00:00
abstract::Development of coarse-grained (CG) molecular dynamics models is often a laborious process which commonly relies upon approximations to similar models, rather than systematic parametrization. PyCGTOOL automates much of the construction of CG models via calculation of both equilibrium values and force constants of inter...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.7b00096
更新日期:2017-04-24 00:00:00
abstract::Distribution patterns of 8411 compounds from 240 Chinese herbs were analyzed in relation to the herbal categories of traditional Chinese medicine (TCM), using Random Forest (RF) and self-organizing maps (SOM). RF was used first to construct TCM profiles of individual compounds, which describe their affinities for 28 m...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci700155t
更新日期:2007-11-01 00:00:00
abstract::Antimicrobial peptides (AMPs) have emerged as promising therapeutic alternatives to fight against the diverse infections caused by different pathogenic microorganisms. In this context, theoretical approaches in bioinformatics have paved the way toward the creation of several in silico models capable of predicting anti...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.5b00630
更新日期:2016-03-28 00:00:00
abstract::Interfacial hydration strongly influences interactions between biomolecules. For example, drug-target complexes are often stabilized by hydration networks formed between hydrophilic residues and water molecules at the interface. Exhaustive exploration of hydration networks is challenging for experimental as well as th...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.5b00638
更新日期:2016-01-25 00:00:00
abstract::Molecular fingerprints are widely used for similarity-based virtual screening in drug discovery projects. In this paper we discuss the performance and the complementarity of nine two-dimensional fingerprints (Daylight, Unity, AlFi, Hologram, CATS, TRUST, Molprint 2D, ChemGPS, and ALOGP) in retrieving active molecules ...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci0504723
更新日期:2006-05-01 00:00:00
abstract::An in silico screening procedure was performed to select new inhibitors of glycogen synthase kinase 3β (GSK-3β), a serine/threonine protein kinase that in the last two decades has emerged as a key target in drug discovery, having been implicated in multiple cellular processes and linked with the pathogenesis of severa...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.5b00486
更新日期:2015-12-28 00:00:00
abstract::We introduce the statistics behind a novel type of SAR analysis named "nonadditivity analysis". On the basis of all pairs of matched pairs within a given data set, the approach analyzes whether the same transformations between related molecules have the same effect, i.e., whether they are additive. Assuming that the e...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.9b00631
更新日期:2019-09-23 00:00:00
abstract::This paper presents an exploratory study of a novel method for flexible 3-D similarity searching based on autocorrelation vectors and smoothed bounded distance matrices. Although the new approach is unable to outperform an existing 2-D similarity searching in terms of enrichment factors, it is able to retrieve differe...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci0503863
更新日期:2006-03-01 00:00:00
abstract::Support vector regression (SVR) is a premier approach for the prediction of compound potency. Given the conceptual link between support vector machine (SVM) and SVR modeling, SVR is capable of accounting for continuous and discontinuous structure-activity relationships (SARs) in potency prediction, which further exten...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.8b00584
更新日期:2019-03-25 00:00:00
abstract::The goal of the present study was to ascertain the differential performance of a long molecular dynamics trajectory versus several shorter ones starting from different points in the phase space and covering the same sampling time. For this purpose, we selected the 16-mer peptide Bak16BH3 as a model for study and carri...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.6b00347
更新日期:2016-10-24 00:00:00
abstract::The reuptake of neurotransmitters by dopamine, norepinephrine, and serotonin transporters during neuronal transmission requires a sodium gradient. An "ionic mode" of binding proposes that aspartate anchors the ligand's positive charge but ignores the direct role of sodium in ligand binding seen in the only representat...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci700255d
更新日期:2008-07-01 00:00:00
abstract::There is a growing public concern about the lack of reproducibility of experimental data published in peer-reviewed scientific literature. Herein, we review the most recent alerts regarding experimental data quality and discuss initiatives taken thus far to address this problem, especially in the area of chemical geno...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章,评审
doi:10.1021/acs.jcim.6b00129
更新日期:2016-07-25 00:00:00
abstract::Deep learning has demonstrated significant potential in advancing state of the art in many problem domains, especially those benefiting from automated feature extraction. Yet, the methodology has seen limited adoption in the field of ligand-based virtual screening (LBVS) as traditional approaches typically require lar...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.0c00622
更新日期:2020-10-26 00:00:00
abstract::The integration of ligand- and structure-based strategies might sensitively increase the success of drug discovery process. We have recently described the application of Molecular Electrostatic Potential autocorrelated vectors (autoMEPs) in generating both linear (Partial Least-Square, PLS) and nonlinear (Response Sur...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci700300w
更新日期:2008-02-01 00:00:00
abstract::G protein-coupled receptors (GPCRs) represent the largest family of cell-surface receptors and about one-third of the actual targets of clinically used drugs. Following the progress made in the field of GPCRs structural determination, docking-based screening for novel potent and selective ligands is becoming an increa...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci400532b
更新日期:2014-01-27 00:00:00
abstract::The proton conduction of transmembrane influenza virus B M2 (BM2) proton channel is possibly mediated by the membrane environment, but the detailed molecular mechanism is challenging to determine. In this work, how membrane lipid composition regulates the conformation and hydration of BM2 channel is elucidated in sili...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.0c00329
更新日期:2020-07-27 00:00:00