Evaluating QM/MM Free Energy Surfaces for Ranking Cysteine Protease Covalent Inhibitors.

Abstract:

:One tactic for cysteine protease inhibition is to form a covalent bond between an electrophilic atom of the inhibitor and the thiol of the catalytic cysteine. In this study, we evaluate the reaction free energy obtained from a hybrid quantum mechanical/molecular mechanical (QM/MM) free energy profile as a predictor of affinity for reversible, covalent inhibitors of rhodesain. We demonstrate that the reaction free energy calculated with the PM6/MM potential is in agreement with the experimental data and suggest that the free energy profile for covalent bond formation in a protein environment may be a useful tool for the inhibitor design.

journal_name

J Chem Inf Model

authors

da Costa CHS,Bonatto V,Dos Santos AM,Lameira J,Leitão A,Montanari CA

doi

10.1021/acs.jcim.9b00847

subject

Has Abstract

pub_date

2020-02-24 00:00:00

pages

880-889

issue

2

eissn

1549-9596

issn

1549-960X

journal_volume

60

pub_type

杂志文章
  • Identification of Potential Small Molecule Binding Pockets in p38α MAP Kinase.

    abstract::Given the essential role played by protein kinases in regulating cellular pathways, their dysregulation can result in the onset and/or progression of various human diseases. Structural analysis of diverse protein kinases suggests that these proteins exhibit a remarkable plasticity that allows them to adopt distinct co...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00439

    authors: Gomez-Gutierrez P,Rubio-Martinez J,Perez JJ

    更新日期:2017-10-23 00:00:00

  • Modeling compound-target interaction network of traditional Chinese medicines for type II diabetes mellitus: insight for polypharmacology and drug design.

    abstract::In this study, in order to elucidate the action mechanism of traditional Chinese medicines (TCMs) that exhibit clinical efficacy for type II diabetes mellitus (T2DM), an integrated protocol that combines molecular docking and pharmacophore mapping was employed to find the potential inhibitors from TCM for the T2DM-rel...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci400146u

    authors: Tian S,Li Y,Li D,Xu X,Wang J,Zhang Q,Hou T

    更新日期:2013-07-22 00:00:00

  • Technique for energy decomposition in the study of "receptor-ligand" complexes.

    abstract::A new methodology to describe the interactions in "receptor-ligand" complexes is presented. The methodology is based on a combination of the 3D/4D QSAR BiS/MC and CoCon algorithms. The first algorithm performs the restricted docking of compounds to receptor pockets. The second determines the relationships between the ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci800405n

    authors: Potemkin VA,Pogrebnoy AA,Grishina MA

    更新日期:2009-06-01 00:00:00

  • Visualization of Solar Cell Library Space by Dimensionality Reduction Methods.

    abstract::Visualizing high-dimensional data by projecting them into a two- or three-dimensional space is a popular approach in many scientific fields, including computer-aided drug design and cheminformatics. In contrast, dimensionality reduction techniques have been far less explored for materials informatics. Nevertheless, si...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00552

    authors: Kaspi O,Yosipof A,Senderowitz H

    更新日期:2018-12-24 00:00:00

  • Discovery of Inhibitors of Four Bromodomains by Fragment-Anchored Ligand Docking.

    abstract::The high-throughput docking protocol called ALTA-VS (anchor-based library tailoring approach for virtual screening) was developed in 2005 for the efficient in silico screening of large libraries of compounds by preselection of only those molecules that have optimal fragments (anchors) for the protein target. Here we p...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00336

    authors: Marchand JR,Dalle Vedove A,Lolli G,Caflisch A

    更新日期:2017-10-23 00:00:00

  • In silico target predictions: defining a benchmarking data set and comparison of performance of the multiclass Naïve Bayes and Parzen-Rosenblatt window.

    abstract::In this study, two probabilistic machine-learning algorithms were compared for in silico target prediction of bioactive molecules, namely the well-established Laplacian-modified Naïve Bayes classifier (NB) and the more recently introduced (to Cheminformatics) Parzen-Rosenblatt Window. Both classifiers were trained in ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci300435j

    authors: Koutsoukas A,Lowe R,Kalantarmotamedi Y,Mussa HY,Klaffke W,Mitchell JB,Glen RC,Bender A

    更新日期:2013-08-26 00:00:00

  • Supervised self-organizing maps in drug discovery. 2. Improvements in descriptor selection and model validation.

    abstract::The modeling of nonlinear descriptor-target relationships is a topic of considerable interest in drug discovery. We, herein, continue reporting the use of the self-organizing map-a nonlinear, topology-preserving pattern recognition technique that exhibits considerable promise in modeling and decoding these relationshi...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci0500841

    authors: Xiao YD,Harris R,Bayram E,Ii PS,Schmitt JD

    更新日期:2006-01-01 00:00:00

  • The normal-mode entropy in the MM/GBSA method: effect of system truncation, buffer region, and dielectric constant.

    abstract::We have performed a systematic study of the entropy term in the MM/GBSA (molecular mechanics combined with generalized Born and surface-area solvation) approach to calculate ligand-binding affinities. The entropies are calculated by a normal-mode analysis of harmonic frequencies from minimized snapshots of molecular d...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci3001919

    authors: Genheden S,Kuhn O,Mikulskis P,Hoffmann D,Ryde U

    更新日期:2012-08-27 00:00:00

  • Drug effect prediction by polypharmacology-based interaction profiling.

    abstract::Most drugs exert their effects via multitarget interactions, as hypothesized by polypharmacology. While these multitarget interactions are responsible for the clinical effect profiles of drugs, current methods have failed to uncover the complex relationships between them. Here, we introduce an approach which is able t...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci2002022

    authors: Simon Z,Peragovics A,Vigh-Smeller M,Csukly G,Tombor L,Yang Z,Zahoránszky-Kohalmi G,Végner L,Jelinek B,Hári P,Hetényi C,Bitter I,Czobor P,Málnási-Csizmadia A

    更新日期:2012-01-23 00:00:00

  • Tuning Interaction Parameters of Thermoplastic Polyurethanes in a Binary Solvent To Achieve Precise Control over Microphase Separation.

    abstract::Thermoplastic polyurethanes (TPUs) are designed using a large variety of basic building blocks but are only synthesized in a limited number of solvent systems. Understanding the behavior of the copolymers in a selected solvent system is of particular interest to tune the intricate balance of microphase separation/mixi...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00781

    authors: Avaz Seven S,Oguz O,Menceloglu YZ,Atilgan C

    更新日期:2019-05-28 00:00:00

  • Structure-Based Rational Design of Novel Inhibitors Against Fructose-1,6-Bisphosphate Aldolase from Candida albicans.

    abstract::Class II fructose-1,6-bisphosphate aldolases (FBA-II) are attractive new targets for the discovery of drugs to combat invasive fungal infection, because they are absent in animals and higher plants. Although several FBA-II inhibitors have been reported, none of these inhibitors exhibit antifungal effect so far. In thi...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.6b00763

    authors: Han X,Zhu X,Hong Z,Wei L,Ren Y,Wan F,Zhu S,Peng H,Guo L,Rao L,Feng L,Wan J

    更新日期:2017-06-26 00:00:00

  • Determination of Structural Ensembles of Flexible Molecules in Solution from NMR Data Undergoing Spin Diffusion.

    abstract::Spin diffusion is a formidable problem when interpreting NMR data of chemical compounds. We developed a method to reconstruct the conformational ensemble of flexible molecules displaying spin diffusion, which minimizes the subjective bias in the interpretation of experimental data and which can be used routinely to ob...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00259

    authors: Vasile F,Tiana G

    更新日期:2019-06-24 00:00:00

  • Expert system for predicting reaction conditions: the Michael reaction case.

    abstract::A generic chemical transformation may often be achieved under various synthetic conditions. However, for any specific reagents, only one or a few among the reported synthetic protocols may be successful. For example, Michael β-addition reactions may proceed under different choices of solvent (e.g., hydrophobic, aproti...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci500698a

    authors: Marcou G,Aires de Sousa J,Latino DA,de Luca A,Horvath D,Rietsch V,Varnek A

    更新日期:2015-02-23 00:00:00

  • Locating sweet spots for screening hits and evaluating pan-assay interference filters from the performance analysis of two lead-like libraries.

    abstract::The efficiency of automated compound screening is heavily influenced by the design and the quality of the screening libraries used. We recently reported on the assembly of one diverse and one target-focused lead-like screening library. Using data from 15 enzyme-based screenings conducted using these libraries, their p...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci300382f

    authors: Mok NY,Maxe S,Brenk R

    更新日期:2013-03-25 00:00:00

  • Antihypertensive drug valsartan in solution and at the AT1 receptor: conformational analysis, dynamic NMR spectroscopy, in silico docking, and molecular dynamics simulations.

    abstract::The conformational properties of AT1 antagonist valsartan have been analyzed both in solution and at the binding site of the receptor. Low energy conformations of valsartan in solution were explored by NMR spectroscopy and molecular modeling studies. The NMR results showed the existence of two distinct and almost isoe...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci800427s

    authors: Potamitis C,Zervou M,Katsiaras V,Zoumpoulakis P,Durdagi S,Papadopoulos MG,Hayes JM,Grdadolnik SG,Kyrikou I,Argyropoulos D,Vatougia G,Mavromoustakos T

    更新日期:2009-03-01 00:00:00

  • Protein flexibility in virtual screening: the BACE-1 case study.

    abstract::Simulating protein flexibility is a major issue in the docking-based drug-design process for which a single methodological solution does not exist. In our search of new anti-Alzheimer ligands, we were faced with the challenge of including receptor plasticity in a virtual screening campaign aimed at finding new β-secre...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci300390h

    authors: Cosconati S,Marinelli L,Di Leva FS,La Pietra V,De Simone A,Mancini F,Andrisano V,Novellino E,Goodsell DS,Olson AJ

    更新日期:2012-10-22 00:00:00

  • Evaluation of different virtual screening programs for docking in a charged binding pocket.

    abstract::Virtual screening of small molecules against a protein target often identifies the correct pose, but the ranking in terms of binding energy remains a difficult problem, resulting in unacceptable numbers of false positives and negatives. To investigate this problem, the performance of three docking programs, FRED, QXP/...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci800154w

    authors: Deng W,Verlinde CL

    更新日期:2008-10-01 00:00:00

  • Ligand-based molecular modeling study on a chemically diverse series of cholecystokinin-B/gastrin receptor antagonists: generation of predictive model.

    abstract::Pharmacophore hypotheses were developed for six structurally diverse series of cholecystokinin-B/gastrin receptor (CCK-BR) antagonists. A training set consisting of 33 compounds was carefully selected. The activity spread of the training set molecules was from 0.1 to 2100 nM. The most predictive pharmacophore model (h...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci050257m

    authors: Chopra M,Mishra AK

    更新日期:2005-11-01 00:00:00

  • Novel Consensus Architecture To Improve Performance of Large-Scale Multitask Deep Learning QSAR Models.

    abstract::Advances in the development of high-throughput screening and automated chemistry have rapidly accelerated the production of chemical and biological data, much of them freely accessible through literature aggregator services such as ChEMBL and PubChem. Here, we explore how to use this comprehensive mapping of chemical ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00526

    authors: Zakharov AV,Zhao T,Nguyen DT,Peryea T,Sheils T,Yasgar A,Huang R,Southall N,Simeonov A

    更新日期:2019-11-25 00:00:00

  • Descriptor Data Bank (DDB): A Cloud Platform for Multiperspective Modeling of Protein-Ligand Interactions.

    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

    authors: Ashtawy HM,Mahapatra NR

    更新日期:2018-01-22 00:00:00

  • Real external predictivity of QSAR models. Part 2. New intercomparable thresholds for different validation criteria and the need for scatter plot inspection.

    abstract::The evaluation of regression QSAR model performance, in fitting, robustness, and external prediction, is of pivotal importance. Over the past decade, different external validation parameters have been proposed: Q(F1)(2), Q(F2)(2), Q(F3)(2), r(m)(2), and the Golbraikh-Tropsha method. Recently, the concordance correlati...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci300084j

    authors: Chirico N,Gramatica P

    更新日期:2012-08-27 00:00:00

  • Structure-activity relationships in non-ligand binding pocket (non-LBP) diarylhydrazide antiandrogens.

    abstract::We report the synthesis and a study of the structure-activity relationships of a new series of diarylhydrazides as potential selective non-ligand binding pocket androgen receptor antagonists. Their biological activity as antiandrogens in the context of the development of treatments for castration resistant prostate ca...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci400189m

    authors: Caboni L,Egan B,Kelly B,Blanco F,Fayne D,Meegan MJ,Lloyd DG

    更新日期:2013-08-26 00:00:00

  • Gas-phase and solution conformations of selected dimeric structural units of heparin.

    abstract::The molecular structure of four dimeric units (D-E, E-F, F-G, and G-H) of the DEFGH structural unit of heparin, their anionic forms, and their sodium salts have been studied using the B3LYP/6-31+G(d) method. The optimized geometries indicate that the most stable structure of these dimeric units in neutral state is sta...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci060060+

    authors: Remko M,von der Lieth CW

    更新日期:2006-07-01 00:00:00

  • A Coarse-Grained Force Field Parameterized for MgCl2 and CaCl2 Aqueous Solutions.

    abstract::Calcium and magnesium ions play important roles in many physicochemical processes. To facilitate the investigation of phenomena related to these ions that occur over large length and time scales, a coarse-grained force field (CGFF) is developed for MgCl2 and CaCl2 aqueous solutions. The ions are modeled by CG beads wi...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00206

    authors: Gong Z,Sun H

    更新日期:2017-07-24 00:00:00

  • Benchmark data set for in silico prediction of Ames mutagenicity.

    abstract::Up to now, publicly available data sets to build and evaluate Ames mutagenicity prediction tools have been very limited in terms of size and chemical space covered. In this report we describe a new unique public Ames mutagenicity data set comprising about 6500 nonconfidential compounds (available as SMILES strings and...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci900161g

    authors: Hansen K,Mika S,Schroeter T,Sutter A,ter Laak A,Steger-Hartmann T,Heinrich N,Müller KR

    更新日期:2009-09-01 00:00:00

  • Structure-based discovery of novel non-nucleosidic DNA alkyltransferase inhibitors: virtual screening and in vitro and in vivo activities.

    abstract::The human DNA-repair O (6)-alkylguanine DNA alkyltransferase (MGMT or hAGT) protein protects DNA from environmental alkylating agents and also plays an important role in tumor resistance to chemotherapy treatment. Available inhibitors, based on pseudosubstrate analogs, have been shown to induce substantial bone marrow...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci700447r

    authors: Ruiz FM,Gil-Redondo R,Morreale A,Ortiz AR,Fábrega C,Bravo J

    更新日期:2008-04-01 00:00:00

  • Secondary structure characterization based on amino acid composition and availability in proteins.

    abstract::The importance of thorough analyses of the secondary structures in proteins as basic structural units cannot be overemphasized. Although recent computational methods have achieved reasonably high accuracy for predicting secondary structures from amino acid sequences, a simple and fundamental empirical approach to char...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci900452z

    authors: Otaki JM,Tsutsumi M,Gotoh T,Yamamoto H

    更新日期:2010-04-26 00:00:00

  • Large-scale mining for similar protein binding pockets: with RAPMAD retrieval on the fly becomes real.

    abstract::Determination of structural similarities between protein binding pockets is an important challenge in in silico drug design. It can help to understand selectivity considerations, predict unexpected ligand cross-reactivity, and support the putative annotation of function to orphan proteins. To this end, Cavbase was dev...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci5005898

    authors: Krotzky T,Grunwald C,Egerland U,Klebe G

    更新日期:2015-01-26 00:00:00

  • Conformational determinants of the activity of antiproliferative factor glycopeptide.

    abstract::The antiproliferative factor (APF) involved in interstitial cystitis is a glycosylated nonapeptide (TVPAAVVVA) containing a sialylated core 1 α-O-disaccharide linked to the N-terminal threonine. The chemical structure of APF was deduced using spectroscopic techniques and confirmed using total synthesis. The synthetic ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci400147s

    authors: Mallajosyula SS,Adams KM,Barchi JJ,MacKerell AD

    更新日期:2013-05-24 00:00:00

  • OPUS-Rota3: Improving Protein Side-Chain Modeling by Deep Neural Networks and Ensemble Methods.

    abstract::Side-chain modeling is critical for protein structure prediction since the uniqueness of the protein structure is largely determined by its side-chain packing conformation. In this paper, differing from most approaches that rely on rotamer library sampling, we first propose a novel side-chain rotamer prediction method...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.0c00951

    authors: Xu G,Wang Q,Ma J

    更新日期:2020-12-28 00:00:00