Assessing the Conformational Equilibrium of Carboxylic Acid via Quantum Mechanical and Molecular Dynamics Studies on Acetic Acid.

Abstract:

:Accurate hydrogen placement in molecular modeling is crucial for studying the interactions and dynamics of biomolecular systems. The carboxyl functional group is a prototypical example of a functional group that requires protonation during structure preparation. To our knowledge, when in their neutral form, carboxylic acids are typically protonated in the syn conformation by default in classical molecular modeling packages, with no consideration of alternative conformations, though we are not aware of any careful examination of this topic. Here, we investigate the general belief that carboxylic acids should always be protonated in the syn conformation. We calculate and compare the relative energetic stabilities of syn and anti acetic acid using ab initio quantum mechanical calculations and atomistic molecular dynamics simulations. We focus on the carboxyl torsional potential and configurations of microhydrated acetic acid from molecular dynamics simulations, probing the effects of solvent, force field (GAFF vs GAFF2), and partial charge assignment of acetic acid. We show that while the syn conformation is the preferred state, the anti state may in some cases also be present under normal NPT conditions in solution.

journal_name

J Chem Inf Model

authors

Lim VT,Bayly CI,Fusti-Molnar L,Mobley DL

doi

10.1021/acs.jcim.8b00835

subject

Has Abstract

pub_date

2019-05-28 00:00:00

pages

1957-1964

issue

5

eissn

1549-9596

issn

1549-960X

journal_volume

59

pub_type

杂志文章
  • Interpretation of the binding affinities of PTP1B inhibitors with the MM-GB/SA method and the X-score scoring function.

    abstract::We have studied the binding affinities of a set of 45 small-molecule inhibitors to protein tyrosine phosphatase 1B (PTP1B) through computational approaches. All of these compounds share a common oxalylamino benzoic acid (OBA) moiety. The complex structure of each compound was modeled by using the GOLD program plus the...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci8004429

    authors: Zhang X,Li X,Wang R

    更新日期:2009-04-01 00:00:00

  • 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...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00847

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

    更新日期:2020-02-24 00:00:00

  • Search for novel aminoglycosides by combining fragment-based virtual screening and 3D-QSAR scoring.

    abstract::Aminoglycosides are antibiotics targeting the 16S RNA A site of the bacterial ribosome. There have been many efforts directed toward design of their synthetic derivatives, however with only few successes. As RNA binders, aminoglycosides are also a difficult target for computational drug design, since most of the exist...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci800361a

    authors: Setny P,Trylska J

    更新日期:2009-02-01 00:00:00

  • Effect of data standardization on chemical clustering and similarity searching.

    abstract::Standardization is used to ensure that the variables in a similarity calculation make an equal contribution to the computed similarity value. This paper compares the use of seven different methods that have been suggested previously for the standardization of integer-valued or real-valued data, comparing the results w...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci800224h

    authors: Chu CW,Holliday JD,Willett P

    更新日期:2009-02-01 00:00:00

  • How do metabolites differ from their parent molecules and how are they excreted?

    abstract::Understanding which physicochemical properties, or property distributions, are favorable for successful design and development of drugs, nutritional supplements, cosmetics, and agrochemicals is of great importance. In this study we have analyzed molecules from three distinct chemical spaces (i) approved drugs, (ii) hu...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci300487z

    authors: Kirchmair J,Howlett A,Peironcely JE,Murrell DS,Williamson MJ,Adams SE,Hankemeier T,van Buren L,Duchateau G,Klaffke W,Glen RC

    更新日期:2013-02-25 00:00:00

  • Get Your Atoms in Order--An Open-Source Implementation of a Novel and Robust Molecular Canonicalization Algorithm.

    abstract::Finding a canonical ordering of the atoms in a molecule is a prerequisite for generating a unique representation of the molecule. The canonicalization of a molecule is usually accomplished by applying some sort of graph relaxation algorithm, the most common of which is the Morgan algorithm. There are known issues with...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.5b00543

    authors: Schneider N,Sayle RA,Landrum GA

    更新日期:2015-10-26 00:00:00

  • RDChiral: An RDKit Wrapper for Handling Stereochemistry in Retrosynthetic Template Extraction and Application.

    abstract::There is a renewed interest in computer-aided synthesis planning, where the vast majority of approaches require the application of retrosynthetic reaction templates. Here we introduce RDChiral, an open-source Python wrapper for RDKit designed to provide consistent handling of stereochemical information in applying ret...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00286

    authors: Coley CW,Green WH,Jensen KF

    更新日期:2019-06-24 00:00:00

  • Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors.

    abstract::Iterative screening has emerged as a promising approach to increase the efficiency of high-throughput screening (HTS) campaigns in drug discovery. By learning from a subset of the compound library, inferences on what compounds to screen next can be made by predictive models. One of the challenges of iterative screenin...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00724

    authors: Buendia R,Kogej T,Engkvist O,Carlsson L,Linusson H,Johansson U,Toccaceli P,Ahlberg E

    更新日期:2019-03-25 00:00:00

  • Substituted 4,5'-Bithiazoles as Catalytic Inhibitors of Human DNA Topoisomerase IIα.

    abstract::Human type II topoisomerases, molecular motors that alter the DNA topology, are a major target of modern chemotherapy. Groups of catalytic inhibitors represent a new approach to overcome the known limitations of topoisomerase II poisons such as cardiotoxicity and induction of secondary tumors. Here, we present a class...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.0c00202

    authors: Bergant Loboda K,Janežič M,Štampar M,Žegura B,Filipič M,Perdih A

    更新日期:2020-07-27 00:00:00

  • First Multitarget Chemo-Bioinformatic Model To Enable the Discovery of Antibacterial Peptides against Multiple Gram-Positive Pathogens.

    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

    authors: Speck-Planche A,Kleandrova VV,Ruso JM,Cordeiro MN

    更新日期:2016-03-28 00:00:00

  • PiNN: A Python Library for Building Atomic Neural Networks of Molecules and Materials.

    abstract::Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, developing interpretable ANN architectures and implementing existing ones efficiently are still challenging. This call...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00994

    authors: Shao Y,Hellström M,Mitev PD,Knijff L,Zhang C

    更新日期:2020-03-23 00:00:00

  • Knowledge-based scoring functions in drug design: 2. Can the knowledge base be enriched?

    abstract::Fast and accurate predicting of the binding affinities of large sets of diverse protein−ligand complexes is an important, yet extremely challenging, task in drug discovery. The development of knowledge-based scoring functions exploiting structural information of known protein−ligand complexes represents a valuable con...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci100343j

    authors: Shen Q,Xiong B,Zheng M,Luo X,Luo C,Liu X,Du Y,Li J,Zhu W,Shen J,Jiang H

    更新日期:2011-02-28 00:00:00

  • Improving Protein-Ligand Docking Results with High-Throughput Molecular Dynamics Simulations.

    abstract::Structure-based virtual screening relies on classical scoring functions that often fail to reliably discriminate binders from nonbinders. In this work, we present a high-throughput protein-ligand complex molecular dynamics (MD) simulation that uses the output from AutoDock Vina to improve docking results in distinguis...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.0c00057

    authors: Guterres H,Im W

    更新日期:2020-04-27 00:00:00

  • CoMFA, CoMSIA, and molecular hologram QSAR studies of novel neuronal nAChRs ligands-open ring analogues of 3-pyridyl ether.

    abstract::3-Pyridyl ethers are excellent nAChRs ligands, which show high subtype selectivity and binding affinity to alpha4beta2 nAChR. Although the quantitative structure-activity relationship (QSAR) of nAChRs ligands has been widely investigated using various classes of compounds, the open ring analogues of 3-pyridyl ethers h...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci0498113

    authors: Zhang H,Li H,Liu C

    更新日期:2005-03-01 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

  • Molecular Dynamics Simulations of Membrane-Bound STIM1 to Investigate Conformational Changes during STIM1 Activation upon Calcium Release.

    abstract::Calcium is involved in important intracellular processes, such as intracellular signaling from cell membrane receptors to the nucleus. Typically, calcium levels are kept at less than 100 nM in the nucleus and cytosol, but some calcium is stored in the endoplasmic reticulum (ER) lumen for rapid release to activate intr...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.6b00475

    authors: Mukherjee S,Karolak A,Debant M,Buscaglia P,Renaudineau Y,Mignen O,Guida WC,Brooks WH

    更新日期:2017-02-27 00:00:00

  • In silico deconstruction of ATP-competitive inhibitors of glycogen synthase kinase-3β.

    abstract::Fragment-based methods have emerged in the last two decades as alternatives to traditional high throughput screenings for the identification of chemical starting points in drug discovery. One arguable yet popular assumption about fragment-based design is that the fragment binding mode remains conserved upon chemical e...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci300355p

    authors: Bisignano P,Lambruschini C,Bicego M,Murino V,Favia AD,Cavalli A

    更新日期:2012-12-21 00:00:00

  • Computational evidence for the role of Arabidopsis thaliana UVR8 as UV-B photoreceptor and identification of its chromophore amino acids.

    abstract::A homology model of the Arabidopsis thaliana UV resistance locus 8 (UVR8) protein is presented herein, showing a seven-bladed β-propeller conformation similar to the globular structure of RCC1. The UVR8 amino acid sequence contains a very high amount of conserved tryptophans, and the homology model shows that seven of...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci200017f

    authors: Wu M,Grahn E,Eriksson LA,Strid A

    更新日期:2011-06-27 00:00:00

  • Molecular Dynamics Simulations of Supramolecular Anticancer Nanotubes.

    abstract::We report here on long-time all-atomistic molecular dynamics simulations of functional supramolecular nanotubes composed by the self-assembly of peptide-drug amphiphiles (DAs). These DAs have been shown to possess an inherently high drug loading of the hydrophobic anticancer drug camptothecin. We probe the self-assemb...

    journal_title:Journal of chemical information and modeling

    pub_type: 信件

    doi:10.1021/acs.jcim.8b00193

    authors: Kang M,Chakraborty K,Loverde SM

    更新日期:2018-06-25 00:00:00

  • Benchmark Sets for Binding Hot Spot Identification in Fragment-Based Ligand Discovery.

    abstract::Binding hot spots are regions of proteins that, due to their potentially high contribution to the binding free energy, have high propensity to bind small molecules. We present benchmark sets for testing computational methods for the identification of binding hot spots with emphasis on fragment-based ligand discovery. ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.0c00877

    authors: Wakefield AE,Yueh C,Beglov D,Castilho MS,Kozakov D,Keserű GM,Whitty A,Vajda S

    更新日期:2020-12-28 00:00:00

  • Prediction of synthetic accessibility based on commercially available compound databases.

    abstract::A compound's synthetic accessibility (SA) is an important aspect of drug design, since in some cases computer-designed compounds cannot be synthesized. There have been several reports on SA prediction, most of which have focused on the difficulties of synthetic reactions based on retro-synthesis analyses, reaction dat...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci500568d

    authors: Fukunishi Y,Kurosawa T,Mikami Y,Nakamura H

    更新日期:2014-12-22 00:00:00

  • SARANEA: a freely available program to mine structure-activity and structure-selectivity relationship information in compound data sets.

    abstract::We introduce SARANEA, an open-source Java application for interactive exploration of structure-activity relationship (SAR) and structure-selectivity relationship (SSR) information in compound sets of any source. SARANEA integrates various SAR and SSR analysis functions and utilizes a network-like similarity graph data...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci900416a

    authors: Lounkine E,Wawer M,Wassermann AM,Bajorath J

    更新日期:2010-01-01 00:00:00

  • Identifying biologically active compound classes using phenotypic screening data and sampling statistics.

    abstract::Scoring the activity of compounds in phenotypic high-throughput assays presents a unique challenge because of the limited resolution and inherent measurement error of these assays. Techniques that leverage the structural similarity of compounds within an assay can be used to improve the hit-recovery rate from screenin...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci050087d

    authors: Klekota J,Brauner E,Schreiber SL

    更新日期:2005-11-01 00:00:00

  • Ranking chemical structures for drug discovery: a new machine learning approach.

    abstract::With chemical libraries increasingly containing millions of compounds or more, there is a fast-growing need for computational methods that can rank or prioritize compounds for screening. Machine learning methods have shown considerable promise for this task; indeed, classification methods such as support vector machin...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci9003865

    authors: Agarwal S,Dugar D,Sengupta S

    更新日期:2010-05-24 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

  • Criterion for evaluating the predictive ability of nonlinear regression models without cross-validation.

    abstract::We propose predictive performance criteria for nonlinear regression models without cross-validation. The proposed criteria are the determination coefficient and the root-mean-square error for the midpoints between k-nearest-neighbor data points. These criteria can be used to evaluate predictive ability after the regre...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci4003766

    authors: Kaneko H,Funatsu K

    更新日期:2013-09-23 00:00:00

  • Assessing different classification methods for virtual screening.

    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

    authors: Plewczynski D,Spieser SA,Koch U

    更新日期:2006-05-01 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

  • Improved Prediction of Drug-Target Interactions Using Self-Paced Learning with Collaborative Matrix Factorization.

    abstract::Identifying drug-target interactions (DTIs) plays an important role in the field of drug discovery, drug side-effects, and drug repositioning. However, in vivo or biochemical experimental methods for identifying new DTIs are extremely expensive and time-consuming. Recently, in silico or various computational methods h...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00408

    authors: Xia LY,Yang ZY,Zhang H,Liang Y

    更新日期:2019-07-22 00:00:00

  • Impact of template choice on homology model efficiency in virtual screening.

    abstract::Homology modeling is a reliable method of predicting the three-dimensional structures of proteins that lack NMR or X-ray crystallographic data. It employs the assumption that a structural resemblance exists between closely related proteins. Despite the availability of many crystal structures of possible templates, onl...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci500001f

    authors: Rataj K,Witek J,Mordalski S,Kosciolek T,Bojarski AJ

    更新日期:2014-06-23 00:00:00