Geometric accuracy of three-dimensional molecular overlays.

Abstract:

:This study examines the dependence of molecular alignment accuracy on a variety of factors including the choice of molecular template, alignment method, conformational flexibility, and type of protein target. We used eight test systems for which X-ray data on 145 ligand-protein complexes were available. The use of X-ray structures allowed an unambiguous assignment of bioactive overlays for each compound set. The alignment accuracy depended on multiple factors and ranged from 6% for flexible overlays to 73% for X-ray rigid overlays, when the conformation of the template ligand came from X-ray structures. The dependence of the overlay accuracy on the choice of templates and molecules to be aligned was found to be the most significant factor in six and seven of the eight ligand-protein complex data sets, respectively. While finding little preference for the overlay method, we observed that the introduction of molecule flexibility resulted in a decrease of overlay accuracy in 50% of the cases. We derived rules to maximize the accuracy of alignment, leading to a more than 2-fold improvement in accuracy (from 19% to 48%). The rules also allowed the identification of compounds with a low (<5%) chance to be correctly aligned. Last, the accuracy of the alignment derived without any utilization of X-ray conformers varied from <1% for the human immunodeficiency virus data set to 53% for the trypsin data set. We found that the accuracy was directly proportional to the product of the overlay accuracy from the templates in their bioactive conformations and the chance of obtaining the correct bioactive conformation of the templates. This study generates a much needed benchmark for the expectations of molecular alignment accuracy and shows appropriate usages and best practices to maximize hypothesis generation success.

journal_name

J Chem Inf Model

authors

Chen Q,Higgs RE,Vieth M

doi

10.1021/ci060134h

subject

Has Abstract

pub_date

2006-09-01 00:00:00

pages

1996-2002

issue

5

eissn

1549-9596

issn

1549-960X

journal_volume

46

pub_type

杂志文章
  • Exploration of Interfacial Hydration Networks of Target-Ligand Complexes.

    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

    authors: Jeszenői N,Bálint M,Horváth I,van der Spoel D,Hetényi C

    更新日期:2016-01-25 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

  • ANN multiscale model of anti-HIV drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks.

    abstract::This work is aimed at describing the workflow for a methodology that combines chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive model developed with this methodology. The new model is able to predict complex networks of AIDS prevalence in the US counties, taking into consideration...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci400716y

    authors: González-Díaz H,Herrera-Ibatá DM,Duardo-Sánchez A,Munteanu CR,Orbegozo-Medina RA,Pazos A

    更新日期:2014-03-24 00:00:00

  • Study of chromatographic retention of natural terpenoids by chemoinformatic tools.

    abstract::The study of chromatographic retention of natural products can be used to increase their identification speed in complex biological matrices. In this work, six variables were used to study the retention behavior in reversed phase liquid chromatography of 39 sesquiterpene lactones (SL) from an in-house database using c...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci500581q

    authors: Oliveira TB,Gobbo-Neto L,Schmidt TJ,Da Costa FB

    更新日期:2015-01-26 00:00:00

  • Influence of Descriptor Implementation on Compound Ranking Based on Multiparameter Assessment.

    abstract::Most of the common molecular descriptors have numerous different implementations. This can influence the results of compound prioritization based on the multiparameter assessment (MPA) approach that allows a medicinal chemist to simultaneously analyze and achieve the desired balance of the diverse and often conflictin...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00734

    authors: Sosnina EA,Osolodkin DI,Radchenko EV,Sosnin S,Palyulin VA

    更新日期:2018-05-29 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

  • Virtual drug screen schema based on multiview similarity integration and ranking aggregation.

    abstract::The current drug virtual screen (VS) methods mainly include two categories. i.e., ligand/target structure-based virtual screen and that, utilizing protein-ligand interaction fingerprint information based on the large number of complex structures. Since the former one focuses on the one-side information while the later...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci200481c

    authors: Kang H,Sheng Z,Zhu R,Huang Q,Liu Q,Cao Z

    更新日期:2012-03-26 00:00:00

  • Consensus QSAR models: do the benefits outweigh the complexity?

    abstract::This study has assessed the use of consensus regression, as compared to single multiple linear regression, models for the development of quantitative structure-activity relationships (QSARs). To provide a comparison, four data sets of varying size and complexity were analyzed: silastic membrane flux, toxicity of pheno...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci700016d

    authors: Hewitt M,Cronin MT,Madden JC,Rowe PH,Johnson C,Obi A,Enoch SJ

    更新日期:2007-07-01 00:00:00

  • Molecular Structure Extraction from Documents Using Deep Learning.

    abstract::Chemical structure extraction from documents remains a hard problem because of both false positive identification of structures during segmentation and errors in the predicted structures. Current approaches rely on handcrafted rules and subroutines that perform reasonably well generally but still routinely encounter s...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00669

    authors: Staker J,Marshall K,Abel R,McQuaw CM

    更新日期:2019-03-25 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

  • 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

  • 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

  • QSAR Modeling of ToxCast Assays Relevant to the Molecular Initiating Events of AOPs Leading to Hepatic Steatosis.

    abstract::Nonalcoholic hepatic steatosis is a worldwide epidemiological concern since it is among the most prominent hepatic diseases. Indeed, research in toxicology and epidemiology has gathered evidence that exposure to endocrine disruptors can perturb cellular homeostasis and cause this disease. Therefore, assessing the like...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00297

    authors: Gadaleta D,Manganelli S,Roncaglioni A,Toma C,Benfenati E,Mombelli E

    更新日期:2018-08-27 00:00:00

  • GDP Release from the Open Conformation of Gα Requires Allosteric Signaling from the Agonist-Bound Human β2 Adrenergic Receptor.

    abstract::G-protein-coupled receptors (GPCRs) transmit signals into the cell in response to ligand binding at its extracellular domain, which is characterized by the coupling of agonist-induced receptor conformational change to guanine nucleotide (GDP) exchange with guanosine triphosphate on a heterotrimeric (αβγ) guanine nucle...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.0c00432

    authors: Kumar V,Hoag H,Sader S,Scorese N,Liu H,Wu C

    更新日期:2020-08-24 00:00:00

  • FOG: Fragment Optimized Growth algorithm for the de novo generation of molecules occupying druglike chemical space.

    abstract::An essential feature of all practical de novo molecule generating programs is the ability to focus the potential combinatorial explosion of grown molecules on a desired chemical space. It is a daunting task to balance the generation of new molecules with limitations on growth that produce desired features such as stab...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci9000458

    authors: Kutchukian PS,Lou D,Shakhnovich EI

    更新日期:2009-07-01 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

  • 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

  • Physicochemical stereodescriptors of atomic chiral centers.

    abstract::Physicochemical atomic stereodescriptors (PAS) were implemented that represent the chirality of an atomic chiral center on the basis of empirical physicochemical properties of the ligands. The ligands are ranked according to a specific property, and the chiral center takes an S/R-like descriptor relative to that prope...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci600235w

    authors: Zhang QY,Aires-de-Sousa J

    更新日期:2006-11-01 00:00:00

  • New fragment weighting scheme for the Bayesian inference network in ligand-based virtual screening.

    abstract::Many of the conventional similarity methods assume that molecular fragments that do not relate to biological activity carry the same weight as the important ones. One possible approach to this problem is to use the Bayesian inference network (BIN), which models molecules and reference structures as probabilistic infer...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci100232h

    authors: Abdo A,Salim N

    更新日期:2011-01-24 00:00:00

  • Modeling p K Shift in DNA Triplexes Containing Locked Nucleic Acids.

    abstract::The protonation states for nucleic acid bases are difficult to assess experimentally. In the context of DNA triplex, the protonation state of cytidine in the third strand is particularly important, because it needs to be protonated in order to form Hoogsteen hydrogen bonds. A sugar modification, locked nucleic acid (L...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00741

    authors: Hartono YD,Xu Y,Karshikoff A,Nilsson L,Villa A

    更新日期:2018-04-23 00:00:00

  • Molecular Oxygen Binding in the Mitochondrial Electron Transfer Flavoprotein.

    abstract::Reactive oxygen species such as superoxide are potentially harmful byproducts of the aerobic metabolism in the inner mitochondrial membrane, and complexes I, II, III of the electron transport chain have been identified as primary sources. The mitochondrial fatty acid b-oxidation pathway may also play a yet uncharacter...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00702

    authors: Husen P,Nielsen C,Martino CF,Solov'yov IA

    更新日期:2019-11-25 00:00:00

  • PythoMS: A Python Framework To Simplify and Assist in the Processing and Interpretation of Mass Spectrometric Data.

    abstract::Mass spectrometric data are copious and generate a processing burden that is best dealt with programmatically. PythoMS is a collection of tools based on the Python programming language that assist researchers in creating figures and video output that is informative, clear, and visually compelling. The PythoMS framewor...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00055

    authors: Yunker LPE,Donnecke S,Ting M,Yeung D,McIndoe JS

    更新日期:2019-04-22 00:00:00

  • Comparative Binding Analysis of N-Acetylneuraminic Acid in Bovine Serum Albumin and Human α-1 Acid Glycoprotein.

    abstract::The present study focuses on the determination of the biologically significant N-acetylneuraminic acid (NANA) drug binding interaction mechanism between bovine serum albumin (BSA) and human α-1 acid glycoprotein (HAG) using various optical spectroscopy and computational methods. The steady state fluorescence spectrosc...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00558

    authors: Karthikeyan S,Bharanidharan G,Ragavan S,Kandasamy S,Chinnathambi S,Udayakumar K,Mangaiyarkarasi R,Sundaramoorthy A,Aruna P,Ganesan S

    更新日期:2019-01-28 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

  • Baseline Model for Predicting Protein-Ligand Unbinding Kinetics through Machine Learning.

    abstract::Derivation of structure-kinetics relationships can help rational design and development of new small-molecule drug candidates with desired residence times. Efforts are now being directed toward the development of efficient computational methods. Currently, there is a lack of solid, high-throughput binding kinetics pre...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.0c00450

    authors: Amangeldiuly N,Karlov D,Fedorov MV

    更新日期:2020-12-28 00:00:00

  • Searching for coordinated activity cliffs using particle swarm optimization.

    abstract::Activity cliffs are formed by structurally similar compounds having large potency differences. Coordinated activity cliffs evolve when compounds within groups of structural neighbors form multiple cliffs with different partners, giving rise to local networks of cliffs in a data set. Using particle swarm optimization, ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci3000503

    authors: Namasivayam V,Bajorath J

    更新日期:2012-04-23 00:00:00

  • Exploring Tunable Hyperparameters for Deep Neural Networks with Industrial ADME Data Sets.

    abstract::Deep learning has drawn significant attention in different areas including drug discovery. It has been proposed that it could outperform other machine learning algorithms, especially with big data sets. In the field of pharmaceutical industry, machine learning models are built to understand quantitative structure-acti...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00671

    authors: Zhou Y,Cahya S,Combs SA,Nicolaou CA,Wang J,Desai PV,Shen J

    更新日期:2019-03-25 00:00:00

  • A Selectivity Study of FFAR4/FFAR1 Agonists by Molecular Modeling.

    abstract::FFAR4 has been considered as a potential target for metabolic diseases, including diabetes. Some compounds with biphenyl scaffold, represented by compound SR13 reported by our group, showed significant FFAR4 selectivity. However, the molecular basis for their selectivity has not been definitely disclosed. This study p...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00735

    authors: Zhang X,Sun H,Wen X,Yuan H

    更新日期:2019-10-28 00:00:00

  • Ensemble feature selection: consistent descriptor subsets for multiple QSAR models.

    abstract::Selecting a small subset of descriptors from a large pool to build a predictive quantitative structure-activity relationship (QSAR) model is an important step in the QSAR modeling process. In general, subset selection is very hard to solve, even approximately, with guaranteed performance bounds. Traditional approaches...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci600563w

    authors: Dutta D,Guha R,Wild D,Chen T

    更新日期:2007-05-01 00:00:00

  • Structural protein-ligand interaction fingerprints (SPLIF) for structure-based virtual screening: method and benchmark study.

    abstract::Accurate and affordable assessment of ligand-protein affinity for structure-based virtual screening (SB-VS) is a standing challenge. Hence, empirical postdocking filters making use of various types of structure-activity information may prove useful. Here, we introduce one such filter based upon three-dimensional struc...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci500319f

    authors: Da C,Kireev D

    更新日期:2014-09-22 00:00:00