Pharmacophore-based virtual screening and experimental validation of novel inhibitors against cyanobacterial fructose-1,6-/sedoheptulose-1,7-bisphosphatase.

Abstract:

:Cyanobacterial fructose-1,6-/sedoheptulose-1,7-bisphoshatase (cy-FBP/SBPase) is a potential enzymatic target for screening of novel inhibitors that can combat harmful algal blooms. In the present study, we targeted the substrate binding pocket of cy-FBP/SBPase. A series of novel hit compounds from the SPECs database were selected by using a pharmacophore-based virtual screening strategy. Most of the compounds tested exhibited moderate inhibitory activities (IC50 = 20.7-176.9 μM) against cy-FBP/SBPase. Compound 2 and its analogues 10 and 11 exhibited strong inhibitory activities, with IC50 values of 20.7, 13.4, and 19.0 μM against cy-FBP/SBPase in vitro and EC50 values of 12.3, 10.9, and 2.9 ppm against cyanobacteria Synechocystis PCC6803 in vivo, respectively. The compound 10 was selected in order to perform a refined docking study to investigate the rational binding mode of inhibitors with cy-FBP/SBPase. Furthermore, possible interactions of the residues with inhibitors were examined by site-directed mutagenesis, enzymatic assays, and fluorescence spectral analyses. The results provide insight into the binding mode between the inhibitors and the substrate binding pocket. The observed theoretical and experimental results are in concert, indicating that the modeling strategies and screening methods employed are appropriate to search for novel lead compounds having both structural diversity and high inhibitory activity against cy-FBP/SBPase.

journal_name

J Chem Inf Model

authors

Sun Y,Zhang R,Li D,Feng L,Wu D,Feng L,Huang P,Ren Y,Feng J,Xiao S,Wan J

doi

10.1021/ci4007529

subject

Has Abstract

pub_date

2014-03-24 00:00:00

pages

894-901

issue

3

eissn

1549-9596

issn

1549-960X

journal_volume

54

pub_type

杂志文章
  • Improved Scaffold Hopping in Ligand-Based Virtual Screening Using Neural Representation Learning.

    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

    authors: Stojanović L,Popović M,Tijanić N,Rakočević G,Kalinić M

    更新日期:2020-10-26 00:00:00

  • Scores of extended connectivity fingerprint as descriptors in QSPR study of melting point and aqueous solubility.

    abstract::QSPR studies, using scores of SciTegic's extended connectivity fingerprint as raw descriptors, were extended to the prediction of melting points and aqueous solubility of organic compounds. Robust partial least-squares models were developed that perform as well as the best published QSPR models for structurally divers...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci800024c

    authors: Zhou D,Alelyunas Y,Liu R

    更新日期:2008-05-01 00:00:00

  • Improved CoMFA modeling by optimization of settings.

    abstract::The possibility of improving the predictive ability of comparative molecular field analysis (CoMFA) by settings optimization has been evaluated to show that CoMFA predictive ability can be improved. Ten different CoMFA settings are evaluated, producing a total of 6120 models. This method has been applied to nine diffe...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci049612j

    authors: Peterson SD,Schaal W,Karlén A

    更新日期:2006-01-01 00:00:00

  • Heuristics from Modeling of Spectral Overlap in Förster Resonance Energy Transfer (FRET).

    abstract::Among the photophysical parameters that underpin Förster resonance energy transfer (FRET), perhaps the least explored is the spectral overlap term ( J). While by definition J increases linearly with acceptor molar absorption coefficient (ε(A) in M-1 cm-1), is proportional to wavelength (λ4), and depends on the degree ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00753

    authors: Qi Q,Taniguchi M,Lindsey JS

    更新日期:2019-02-25 00:00:00

  • The valence state combination model: a generic framework for handling tautomers and protonation states.

    abstract::The consistent handling of molecules is probably the most basic and important requirement in the field of cheminformatics. Reliable results can only be obtained if the underlying calculations are independent of the specific way molecules are represented in the input data. However, ensuring consistency is a complex tas...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci400724v

    authors: Urbaczek S,Kolodzik A,Rarey M

    更新日期:2014-03-24 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

  • iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides.

    abstract::Umami or the taste of monosodium glutamate represents one of the major attractive taste modalities in humans. Therefore, knowledge about biophysical and biochemical properties of the umami taste is important for both scientific research and the food industry. Experimental approaches for predicting umami peptides are l...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.0c00707

    authors: Charoenkwan P,Yana J,Nantasenamat C,Hasan MM,Shoombuatong W

    更新日期:2020-12-28 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

  • Lessons learned in empirical scoring with smina from the CSAR 2011 benchmarking exercise.

    abstract::We describe a general methodology for designing an empirical scoring function and provide smina, a version of AutoDock Vina specially optimized to support high-throughput scoring and user-specified custom scoring functions. Using our general method, the unique capabilities of smina, a set of default interaction terms ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci300604z

    authors: Koes DR,Baumgartner MP,Camacho CJ

    更新日期:2013-08-26 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

  • SERAPhiC: a benchmark for in silico fragment-based drug design.

    abstract::Our main objective was to compile a data set of high-quality protein-fragment complexes and make it publicly available. Once assembled, the data set was challenged using docking procedures to address the following questions: (i) Can molecular docking correctly reproduce the experimentally solved structures? (ii) How t...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci2003363

    authors: Favia AD,Bottegoni G,Nobeli I,Bisignano P,Cavalli A

    更新日期:2011-11-28 00:00:00

  • Assessing the Protective Activity of a Recently Discovered Phenolic Compound against Oxidative Stress Using Computational Chemistry.

    abstract::The protection exerted by 3,5-dihydroxy-4-methoxybenzyl alcohol (DHMBA), a phenolic compound recently isolated from the Pacific oyster, against oxidative stress (OS) is investigated using the density functional theory. Our results indicate that DHMBA is an outstanding peroxyl radical scavenger, being about 15 times an...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.5b00513

    authors: Villuendas-Rey Y,Alvarez-Idaboy JR,Galano A

    更新日期:2015-12-28 00:00:00

  • Stability studies of transition-metal linkage isomers using quantum mechanical methods. Groups 11 and 12 transition metals.

    abstract::Several hypotheses to elucidate the linkage isomer preference of the thiocyanate (SCN(-)) ion have been offered. For complexes with small coordination numbers (i.e., 1 and 2) and groups 11 (Cu-triad) and 12 (Zn-triad) metals, different levels of theory and a variety of basis sets have been employed to study linkage is...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci050050t

    authors: Buda C,Kazi AB,Dinescu A,Cundari TR

    更新日期:2005-07-01 00:00:00

  • Learning To Predict Reaction Conditions: Relationships between Solvent, Molecular Structure, and Catalyst.

    abstract::Reaction databases provide a great deal of useful information to assist planning of experiments but do not provide any interpretation or chemical concepts to accompany this information. In this work, reactions are labeled with experimental conditions, and network analysis shows that consistencies within clusters of da...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00313

    authors: Walker E,Kammeraad J,Goetz J,Robo MT,Tewari A,Zimmerman PM

    更新日期:2019-09-23 00:00:00

  • T-Cell Receptor Binding Affects the Dynamics of the Peptide/MHC-I Complex.

    abstract::The recognition of peptide/MHC by T-cell receptors is one of the most important interactions in the adaptive immune system. A large number of computational studies have investigated the structural dynamics of this interaction. However, to date only limited attention has been paid to differences between the dynamics of...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.5b00511

    authors: Knapp B,Deane CM

    更新日期:2016-01-25 00:00:00

  • Fragment-Based Computational Method for Designing GPCR Ligands.

    abstract::G protein-coupled receptors (GPCRs) are the largest family of cell surface receptors, which is arguably the most important family of drug target. With the technology breakthroughs in X-ray crystallography and cryo-electron microscopy, more than 300 GPCR-ligand complex structures have been publicly reported since 2007,...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00699

    authors: Li Y,Sun Y,Song Y,Dai D,Zhao Z,Zhang Q,Zhong W,Hu LA,Ma Y,Li X,Wang R

    更新日期:2020-09-28 00:00:00

  • H274Y's Effect on Oseltamivir Resistance: What Happens Before the Drug Enters the Binding Site.

    abstract::Increased reports of oseltamivir (OTV)-resistant strains of the influenza virus, such as the H274Y mutation on its neuraminidase (NA), have created some cause for concern. Many studies have been conducted in the attempt to uncover the mechanism of OTV resistance in H274Y NA. However, most of the reported studies on H2...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.5b00331

    authors: Yusuf M,Mohamed N,Mohamad S,Janezic D,Damodaran KV,Wahab HA

    更新日期:2016-01-25 00:00:00

  • Isomerization and Decomposition of 2-Methylfuran with External Forces.

    abstract::The primary goal of this project was to evaluate the performance of the Standard and Enforced Geometry Optimization (SEGO) method which we have recently developed. The SEGO method has been designed for an automatic location of multiple minima on the molecular Potential Energy Surface (PES), and its usefulness has been...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00352

    authors: Brzyska A,Woliński K

    更新日期:2019-08-26 00:00:00

  • Polarizable Force Field for Molecular Ions Based on the Classical Drude Oscillator.

    abstract::Development of accurate force field parameters for molecular ions in the context of a polarizable energy function based on the classical Drude oscillator is a crucial step toward an accurate polarizable model for modeling and simulations of biological macromolecules. Toward this goal we have undertaken a hierarchical ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00132

    authors: Lin FY,Lopes PEM,Harder E,Roux B,MacKerell AD Jr

    更新日期:2018-05-29 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

  • Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies.

    abstract::Machine learning (ML) algorithms are gaining importance in the processing of chemical information and modeling of chemical reactivity problems. In this work, we have developed a perturbation-theory and machine learning (PTML) model combining perturbation theory (PT) and ML algorithms for predicting the yield of a give...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00286

    authors: Simón-Vidal L,García-Calvo O,Oteo U,Arrasate S,Lete E,Sotomayor N,González-Díaz H

    更新日期:2018-07-23 00:00:00

  • Structure-Based Discovery of 1H-Indazole-3-carboxamides as a Novel Structural Class of Human GSK-3 Inhibitors.

    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

    authors: Ombrato R,Cazzolla N,Mancini F,Mangano G

    更新日期:2015-12-28 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

  • Factors affecting d-block metal-ligand bond lengths: toward an automated library of molecular geometry for metal complexes.

    abstract::Metal-ligand (M-L) bond lengths for a range of ligands (carboxylates, chlorides, pyridines, water, tertiary phosphines, and alkenes) and a variety of metals have been retrieved from the Cambridge Structural Database, CSD. Analysis of the factors which affect M-L bond lengths (for example, ligand coordination mode, oxi...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci0500785

    authors: Harris SE,Orpen AG,Bruno IJ,Taylor R

    更新日期:2005-11-01 00:00:00

  • Exploration of the accessible chemical space of acyclic alkanes.

    abstract::Saturated acyclic alkanes show steric strain if they are highly branched and, in extreme cases, fall apart rapidly at room temperature. Consequently, attempts to count the number of isomeric forms for a given molecular formula that neglect this physical consideration will inevitably overestimate the size of the availa...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci700246b

    authors: Paton RS,Goodman JM

    更新日期:2007-11-01 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

  • Ranking Reversible Covalent Drugs: From Free Energy Perturbation to Fragment Docking.

    abstract::Reversible covalent inhibitors have drawn increasing attention in drug design, as they are likely more potent than noncovalent inhibitors and less toxic than covalent inhibitors. Despite those advantages, the computational prediction of reversible covalent binding presents a formidable challenge because the binding pr...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00959

    authors: Zhang H,Jiang W,Chatterjee P,Luo Y

    更新日期:2019-05-28 00:00:00

  • Hidden active information in a random compound library: extraction using a pseudo-structure-activity relationship model.

    abstract::We propose a hypothesis that "a model of active compound can be provided by integrating information of compounds high-ranked by docking simulation of a random compound library". In our hypothesis, the inclusion of true active compounds in the high-ranked compound is not necessary. We regard the high-ranked compounds a...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci7003384

    authors: Fukunishi H,Teramoto R,Shimada J

    更新日期:2008-03-01 00:00:00

  • Chemical Topic Modeling: Exploring Molecular Data Sets Using a Common Text-Mining Approach.

    abstract::Big data is one of the key transformative factors which increasingly influences all aspects of modern life. Although this transformation brings vast opportunities it also generates novel challenges, not the least of which is organizing and searching this data deluge. The field of medicinal chemistry is not different: ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00249

    authors: Schneider N,Fechner N,Landrum GA,Stiefl N

    更新日期:2017-08-28 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