Multiple molecular modelling studies on some derivatives and analogues of glutamic acid as matrix metalloproteinase-2 inhibitors.

Abstract:

:Matrix metalloproteinase-2 (MMP-2) is a potential target in anticancer drug discovery due to its association with angiogenesis, metastasis and tumour progression. In this study, 67 glutamic acid derivatives, synthesized and evaluated as MMP-2 inhibitors, were taken into account for multi-QSAR modelling study (regression-based 2D-QSAR, classification-based LDA-QSAR, Bayesian classification QSAR, HQSAR, 3D-QSAR CoMFA and CoMSIA as well as Open3DQSAR). All these QSAR studies were statistically validated individually. Regarding the 3D-QSAR analysis, the Open3DQSAR results were better than CoMFA and CoMSIA, although all these 3D-QSAR models supported each other. The importance of biphenylsulphonyl moiety over phenylacetyl/naphthylacetyl moieties was established due to its association with favourable steric and hydrophobic characters. HQSAR, LDA-QSAR and Bayesian classification QSAR studies also suggested that the biphenylsulphonamido group was better than the phenylacetylcarboxamido function. Additionally, glutamines were proven to be far better inhibitors than isoglutamines. Observations obtained from the current study were revalidated and supported by the earlier reported molecular modelling studies. Depending on these observations, newer glutamic acid-based compounds may be designed further in future for potent MMP-2 inhibitory activity.

journal_name

SAR QSAR Environ Res

authors

Jha T,Adhikari N,Saha A,Amin SA

doi

10.1080/1062936X.2017.1406986

subject

Has Abstract

pub_date

2018-01-01 00:00:00

pages

43-68

issue

1

eissn

1062-936X

issn

1029-046X

journal_volume

29

pub_type

杂志文章
  • Antibacterial activity and QSAR of chalcones against biofilm-producing bacteria isolated from marine waters.

    abstract::Biofouling in the marine environment is a major problem. In this study, three marine organisms, namely Bacillus flexus (LD1), Pseudomonas fluorescens (MD3) and Vibrio natriegens (MD6), were isolated from biofilms formed on polymer and metal surfaces immersed in ocean water. Phylogenetic analysis of these three organis...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629361003771009

    authors: Sivakumar PM,Prabhawathi V,Doble M

    更新日期:2010-04-01 00:00:00

  • Domain of EPI suite biotransformation models.

    abstract::Knowledge of the interpolative region or applicability domain (AD) of structure-activity relationships is believed to improve predictive accuracy. The present work was undertaken to characterize the AD of EPI Suite biotransformation models and evaluate the performance of selected AD assessment methods. AD methods were...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2010.501816

    authors: Boethling RS,Costanza J

    更新日期:2010-07-01 00:00:00

  • First report on exploring classification and regression based QSAR modelling of Plasmodium falciparum glycogen synthase kinase (PfGSK-3) inhibitors.

    abstract::Recent advances in the knowledge of parasite biology have unveiled many new antimalarial targets for drug development. The glycogen synthase kinase-3 from Plasmodium falciparum (PfGSK-3) plays an active role in the completion of the asexual erythrocytic stage of P. falciparum life cycle. Due to the limited availabilit...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2015.1104518

    authors: Balasaheb Aher R,Roy K

    更新日期:2015-01-01 00:00:00

  • Predicting the biodegradation products of perfluorinated chemicals using CATABOL.

    abstract::Perfluorinated chemicals (PFCs) form a special category of organofluorine compounds with particularly useful and unique properties. Their large use over the past decades increased the interest in the study of their environmental fate. Fluorocarbons may have direct or indirect environmental impact through the products ...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936032000169688

    authors: Dimitrov S,Kamenska V,Walker JD,Windle W,Purdy R,Lewis M,Mekenyan O

    更新日期:2004-02-01 00:00:00

  • Straightforward MIA-QSTR evaluation of environmental toxicities of aromatic aldehydes to Tetrahymena pyriformis.

    abstract::Aldehydes are toxic environmental contaminants which cause severe health hazards. There is a growing need by industries and regulatory agencies for the development of tools able to assess the potential hazardous effects of chemicals on living organisms. In this background, multivariate image analysis combined with qua...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2013.840678

    authors: Asadollahi-Baboli M

    更新日期:2013-01-01 00:00:00

  • QSTR with extended topochemical atom (ETA) indices. 15. Development of predictive models for toxicity of organic chemicals against fathead minnow using second-generation ETA indices.

    abstract::Modern industrialisation has led to the production of millions of toxic chemicals having hazardous effects on the ecosystem. It is impracticable to determine the toxic potential of a large number of chemicals in animal models, making the use of quantitative structure-toxicity relationship (QSTR) models an alternative ...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2011.645872

    authors: Roy K,Das RN

    更新日期:2012-01-01 00:00:00

  • Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree.

    abstract::Chagas disease is endemic to 21 Latin American countries and is a great public health problem in that region. Current chemotherapy remains unsatisfactory; consequently the need to search for new drugs persists. Here we present a new approach to identify novel compounds with potential anti-chagasic action. A large data...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2020.1863857

    authors: Castillo-Garit JA,Barigye SJ,Pham-The H,Pérez-Doñate V,Torrens F,Pérez-Giménez F

    更新日期:2021-01-01 00:00:00

  • In silico modelling of ADMET-a minireview of work from 2000 to 2004.

    abstract::This article represents a minireview of work published so far in the 21st century in the in silico ADMET field of research related to investigations in the areas of solubility, hERG and cytochrome P450 3A4. Various approaches including 2D- and 3D-QSARs and pharmacophore modelling are discussed. The pros and cons of th...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章,评审

    doi:10.1080/10629360412331319835

    authors: Norinder U

    更新日期:2005-02-01 00:00:00

  • Fragment-similarity-based QSAR (FS-QSAR) algorithm for ligand biological activity predictions.

    abstract::Quantitative structure-activity relationship (QSAR) studies are useful computational tools often used in drug discovery research and in many scientific disciplines. In this study, a robust fragment-similarity-based QSAR (FS-QSAR) algorithm was developed to correlate structures with biological activities by integrating...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2011.569943

    authors: Myint KZ,Ma C,Wang L,Xie XQ

    更新日期:2011-06-01 00:00:00

  • QSAR modelling of larvicidal phytocompounds against Aedes aegypti using index of ideality of correlation.

    abstract::Aedes aegypti is the primary vector of several infectious viruses that cause yellow, dengue, chikungunya, and Zika fevers. Recently, plant-derived products have been tested as safe and eco-friendly larvicides against Ae. aegypti. The present study aimed to improve QSAR models for 62 larvicidal phytocompounds against A...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2020.1806922

    authors: Javidfar M,Ahmadi S

    更新日期:2020-10-01 00:00:00

  • Evaluation of the OECD QSAR Application Toolbox and Toxtree for estimating the mutagenicity of chemicals. Part 1. Aromatic amines.

    abstract::The Ames Salmonella typhimurium mutagenicity assay is a short-term bacterial reverse mutation test that was designed to detect mutagens. For several decades, it has been used in research laboratories and by regulatory agencies throughout the world for the detection and characterization of potential mutagens among natu...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2010.528959

    authors: Devillers J,Mombelli E

    更新日期:2010-10-01 00:00:00

  • In silico modelling of hazard endpoints: current problems and perspectives.

    abstract::Major scientific hurdles in the acceptance of quantitative structure-activity relationships (QSAR) for regulatory purposes have been identified. First, when quantifying important features of chemical structure complexities of molecular structure have often been ignored. More mechanistic modelling of chemical structure...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360310001623953

    authors: Mekenyan O,Dimitrov S,Schmieder P,Veith G

    更新日期:2003-10-01 00:00:00

  • Structure-toxicity relationships for alkanones and alkenones.

    abstract::The relative toxicity (log IGC-1(50)) of 54 selected alkanones, both aliphatic and aromatic, as well as, alkenones and alkynones was evaluated in the static Tetrahymena pyriformis population growth assay. Excess toxicity, an indicator of bioreactivity, was associated only with the alpha-beta unsaturated alkenones and ...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629369508233991

    authors: Schultz TW,Sinks GD,Hunter RS

    更新日期:1995-01-01 00:00:00

  • Calculation of octanol/water partition coefficients for pesticides: a comparative study.

    abstract::Abstract On the basis of a set of 593 experimental octanol/water partition coefficients (log P) for pesticides, the simulation performances of two models using computable descriptors are compared. The back propagation neural network model designed from autocorrelation descriptors (SAR QSAR Environ. Res. (1997), 7, 1...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629369908039179

    authors: Devillers J

    更新日期:1999-07-01 00:00:00

  • Effects of chemical reactivity of the toxicity of phosphorus fluoridates.

    abstract::Semiempirical quantum calculations were performed on a series of organophosphorus fluoridates to determine the relative reactivity for hydrolysis. This value was determined by subtracting the energy of the metastable intermediate from the energy of the stable molecule. Plotting this relative reactivity for each compou...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629369908039176

    authors: White WE

    更新日期:1999-01-01 00:00:00

  • An approach to the interpretation of backpropagation neural network models in QSAR studies.

    abstract::An approach to the interpretation of backpropagation neural network models for quantitative structure-activity and structure-property relationships (QSAR/QSPR) studies is proposed. The method is based on analyzing the first and second moments of distribution of the values of the first and the second partial derivative...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360290002073

    authors: Baskin II,Ait AO,Halberstam NM,Palyulin VA,Zefirov NS

    更新日期:2002-03-01 00:00:00

  • Use of reversed-phase high-performance liquid chromatography in QSAR analysis of 2,4-dihydroxythiobenzanilide analogues.

    abstract::Thiobenzanilides are found to show strong biological activity as antimicrobial, antimycotic, and tuberculostatic agents. In addition, they are relatively weakly toxic to higher organisms. A large set of new (N-phenyl-)-2,4-dihydroxybenzenecarbothioamide derivatives was obtained. Preliminary studies showed high microbi...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629369908033221

    authors: Jóźwiak K,Szumiło H,Senczyna B,Niewiadomy A

    更新日期:1999-12-01 00:00:00

  • Steric and electrostatic effects in dye-cellulose interactions by the MTD and CoMFA approaches.

    abstract::This paper presents the application of the MTD (minimal steric difference) analysis and CoMFA (comparative molecular field analysis) to series of anthraquinone vat, mono and disazo and disperses dyes with known affinities for cellulose fiber. A comparison of the results demonstrates that these methods usually agree wi...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360290002703

    authors: Timofeir S,Kurunczi L,Schmidt W,Simon Z

    更新日期:2002-03-01 00:00:00

  • Decision trees versus support vector machine for classification of androgen receptor ligands.

    abstract::With the current concern of limiting experimental assays, increased interest now focuses on in silico models able to predict toxicity of chemicals. Endocrine disruptors cover a large number of environmental and industrial chemicals which may affect the functions of natural hormones in humans and wildlife. Structure-ac...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360701843441

    authors: Panaye A,Doucet JP,Devillers J,Marchand-Geneste N,Porcher JM

    更新日期:2008-01-01 00:00:00

  • Investigation of anticancer activity of macrocyclic Schiff bases by means of 4D-QSAR based on simplex representation of molecular structure.

    abstract::Influence of the molecular structure of macrocyclic pyridinophanes, their analogues and some other compounds on anticancer activity (Leukemia, central nervous system (CNS) cancer, prostate cancer, breast cancer, melanoma, non-small cell lung cancer, colon cancer, ovarian cancer, renal cancer) was investigated by means...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10659360500037206

    authors: Kuz'min VE,Artemenko AG,Lozytska RN,Fedtchouk AS,Lozitsky VP,Muratov EN,Mescheriakov AK

    更新日期:2005-06-01 00:00:00

  • Identification of structural fingerprints for ABCG2 inhibition by using Monte Carlo optimization, Bayesian classification, and structural and physicochemical interpretation (SPCI) analysis.

    abstract::The human breast cancer resistance protein (BCRP), one of the members of the large ATP binding cassette (ABC) transporter superfamily, is crucial for resistance against chemotherapeutic agents. Currently, it has been emerged as one of the best biological targets for the designing of small molecule drugs capable of eli...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2020.1771769

    authors: Ghosh K,Bhardwaj B,Amin SA,Jha T,Gayen S

    更新日期:2020-06-01 00:00:00

  • Molecular lipophilicity calculations of chemically heterogeneous chemicals and drugs on the basis of structural similarity and physicochemical parameters.

    abstract::QSARs based on molecular polarizability (alpha) and H-bond acceptor factors (sigma Ca) as independent variables provided good predictability of octanol/water partition coefficients (P) for chemicals and drugs. However, for some molecules containing few functional groups, the calculated values deviated significantly fr...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360108033245

    authors: Raevsky OA

    更新日期:2001-01-01 00:00:00

  • Simplified molecular input line entry system-based optimal descriptors: QSAR modelling for voltage-gated potassium channel subunit Kv7.2.

    abstract::CORAL software has been used to build quantitative structure-activity relationships (QSARs) for the prediction of binding affinities (pEC50, i.e., minus decimal logarithm of the 50% effective concentration) of 35 potent inhibitors towards the voltage-gated potassium channel subunit Kv7.2. The pEC50 has been modelled u...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2013.842930

    authors: Achary PG

    更新日期:2014-01-01 00:00:00

  • Modeling reductive dehalogenation with quantum chemically derived descriptors.

    abstract::Existing models for the reductive dehalogenation reaction under environmentally relevant conditions use Hammett and Taft coefficients as descriptors. Drawbacks of these descriptors are the limited possibilities for interpretation in terms of reaction mechanisms, and the limited availability of these descriptors for mo...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629369508032983

    authors: Rorije E,Langenberg JH,Richter J,Peijnenburg WJ

    更新日期:1995-01-01 00:00:00

  • How good are publicly available web services that predict bioactivity profiles for drug repurposing?

    abstract::Drug repurposing provides a non-laborious and less expensive way for finding new human medicines. Computational assessment of bioactivity profiles shed light on the hidden pharmacological potential of the launched drugs. Currently, several freely available computational tools are available via the Internet, which pred...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2017.1399448

    authors: Murtazalieva KA,Druzhilovskiy DS,Goel RK,Sastry GN,Poroikov VV

    更新日期:2017-10-01 00:00:00

  • Quantitative structure-activity relationship study of amide mosquito repellents.

    abstract::A quantitative structure-activity relationship (QSAR) study on 43 amide repellents was carried out by the heuristic method in order to reveal the correlations between molecular parameters of these amides and their repellency against Aedes aegypti. Sketches and optimizations of molecular structures were achieved by the...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2017.1320585

    authors: Wang P,Xu X,Liao S,Song J,Fan G,Chen S,Wang Z

    更新日期:2017-04-01 00:00:00

  • QSAR and mode of action studies of insecticidal ecdysone agonists.

    abstract::A series of our SAR and QSAR studies of synthetic moulting hormone agonists, dibenzoylhydrazines (DBH), exhibiting insecticidal/larvicidal activity are reviewed in this article. We prepared a number of analogues where various substituents are introduced into the two benzene rings of DBH and measured their biological a...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章,评审

    doi:10.1080/10629360601053943

    authors: Fujita T,Nakagawa Y

    更新日期:2007-01-01 00:00:00

  • QSAR classification model for diverse series of antifungal agents based on improved binary differential search algorithm.

    abstract::An improved binary differential search (improved BDS) algorithm is proposed for QSAR classification of diverse series of antimicrobial compounds against Candida albicans inhibitors. The transfer functions is the most important component of the BDS algorithm, and converts continuous values of the donor into discrete va...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2019.1568298

    authors: Al-Fakih AM,Algamal ZY,Lee MH,Aziz M,Ali HTM

    更新日期:2019-02-01 00:00:00

  • QSAR models for anti-androgenic effect--a preliminary study.

    abstract::Three modelling systems (MultiCase®, LeadScope® and MDL® QSAR) were used for construction of androgenic receptor antagonist models. There were 923-942 chemicals in the training sets. The models were cross-validated (leave-groups-out) with concordances of 77-81%, specificity of 78-91% and sensitivity of 51-76%. The spe...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/1062936X.2010.528981

    authors: Jensen GE,Nikolov NG,Wedebye EB,Ringsted T,Niemela JR

    更新日期:2011-03-01 00:00:00

  • Internet resources integrating many small-molecule databases.

    abstract::()New data, tools and services recently made available on the web server (http://cactus.nci.nih.gov) of the Computer-Aided Drug Design (CADD) Group, NCI, NIH, developed in the context of chemoinformatics and drug development work, are presented. These tools are designed for searching for structures in very large datab...

    journal_title:SAR and QSAR in environmental research

    pub_type: 杂志文章

    doi:10.1080/10629360701843540

    authors: Sitzmann M,Filippov IV,Nicklaus MC

    更新日期:2008-01-01 00:00:00