Vrije Universiteit Brussel


Research Page of Mohammad Goodarzi

Last update: 28/06/2010

General Information

CIVIL STATUS :

  • Born May 10th 1982
  • Iran

EDUCATION :

  • Since May 2010:
    Ph.D. Student in Pharmaceutical Sciences at the Department of Analytical Chemistry and Pharmaceutical Technology

RESEARCH TOPICS :

  • Chemometrics:
  • Analytical Chemistry:
  • Computational chemistry:

Publications

  • [1] Spectrophotometric simultaneous determination of zinc(II), manganese(II) and iron(II) in pharmaceutical preparations using OSC-PLS
    A. Niazi, A. Yazdanipour, M. Goodarzi , H.R. Kamkar , A. RafinejadN.
    Chinese Chemical Letters, 17 (10) (2006) 1347-1350

  • [2] Multiwavelength spectrophotometric determination of the acidity constant of Nitroso-R-Salt in various micellar media solutions
    A. Niazi, N. Ghasemi, M. Goodarzi, M. Rostami & A. Yazdanipour
    J. Chil. Chem. Soc. 52 (1) (2007) 1106-1110

  • [3] Simultaneous spectrophotometric determination of uranium and thorium using Arsenazo III by H-point standard addition method and partial least squares regression
    A. Niazi, N. Ghasemi, M. Goodarzi, A. Ebadi
    Journal of the Chinese Chemical Society, 2007, 54, 411-418

  • [4] Spectrophotometric Simultaneous Determination of Manganese(II) and Iron(II) in Pharmaceutical by Orthogonal Signal Correction-Partial Least Squares
    M.Goodarzi, T.Goodarzi, N.Ghasemi
    Ann, Chim, 97(5-6)2007, 303-312

  • [5] Orthogonal signal correction - partial least squares method for simultaneous spectrophotometric determination of cypermethrin and tetramethrin
    A. Niazi, M. Goodarzi
    Spectrochimica Acta Part A 2008 –69, 1165-1169

  • [6] A comparative study between least-squares support vector machines and partial least squares in simultaneous spectrophotometric determination of cypermethrin, permethrin and tetramethrin
    A. Niazi, M. Goodarzi , A. Yazdanipour
    Journal of the Brazilian Chemical Society, (2008) 19(3) 536-542

  • [7] Augmented three-mode MIA-QSAR modelling for a series of anti-HIV-1 compounds
    M.Goodarzi , M. P.Freitas
    QSAR Comb. Sci,2008,27,9, 1092-1098

  • [8] Spectrophotometric determination of acidity constants of Thiamine in water, water-Triton X-100 micellar media solutions
    M.Goodarzi , T,Goodarzi
    Iran. J. Chem. Chem. Eng. 2008. 27(4) 15-20

  • [9] Multimode Methods Applied on MIA Descriptors in QSAR
    M.P. Freitas, E. F. F. da Cunha, T.C. Ramalho, M.Goodarzi
    Current Computer-Aided Drug Design, 2008, 4,4, 273-282

  • [10] Predicting Boiling Points of Aliphatic Alcohols through Multivariate Image Analysis Applied to Quantitative Structure-Property Relationships
    M.Goodarzi , M.P. Freitas
    J. Phys. Chem. A,2008 112 (44), 11263–11265

  • [11] Prediction of the Logarithmic of Partition Coefficients (Log P) of some Organic Compounds by Least Square Support Vector Machine (LSSVM)
    N. Goudarzi, M.Goodarzi
    Molecular Physics,2008, 106,2525-2535

  • [12] Improvement of MIA-QSAR Analysis by Using Wavelet-PCA Ranking Variable Selection and LS-SVM Regression: QSAR Study of Checkpoint Kinase WEE1 Inhibitors
    R.A. Cormanich, M.Goodarzi , M.P. Freitas
    Chemical Biology and Drug Design, 2009, 73, 244 - 252

  • [13] On the use of PLS and N-PLS in MIA-QSAR: Azole Antifungals
    M.Goodarzi , M.P. Freitas
    Chemometrics and Intelligent Laboratory Systems, 2009,96 59-62

  • [14] Influence of Changes in 2D Chemical Structure Drawings and Image Formats on the Prediction of Biological Properties Using MIA-QSAR
    M.Goodarzi , M. P. Freitas, E.B. Ferreira
    QSAR Comb. Sci,. 2009.28.4.458-464

  • [15] Principal component analysis - adaptive neuro-fuzzy inference systems (ANFIS) for the simultaneous spectrophotometric determination of three metals in water samples
    M.Goodarzi , A.C. Olivieri, M.P. Freitas
    Spectrochimica Acta Part A 2009.73, 608-614

  • [16] Feature Selection and Linear/Non-Linear Regression Methods for the Accurate Prediction of Glycogen Synthase Kinase-3b Inhibitory Activities
    M.Goodarzi , M.P. Freitas, R. Jensen
    Journal of Chemical Information and Modeling, 2009, 49,824-832

  • [17] Prediction of the acidic dissociation constant (pKa) of some organic compounds using linear and nonlinear QSPR methods
    M.Goodarzi , N. Goudarzi
    Molecular Physics,2009. 107, 1495 – 1503

  • [18] Study of the ethanolic tributhylmethyl ammonium aluminosilicate solutions using 27Al NMR
    N. Goudarzi, M.Goodarzi , M. Arab Chamgangali and G.Bagherian
    Journal of Molecular Structure, 2009. 930, 2-8

  • [19] Prediction of the Vapour Pressure of some Halogenated Methyl-Phenyl Ether (Anisole) Compounds using Linear and Nonlinear QSPR Methods
    N. Goudarzi, M.Goodarzi
    Molecular Physics,2009. 107, 1615 – 1620

  • [20] Simultaneous spectrophotometric determination of carbidopa and levodopa by partial least squares regression, principal component regression and least squares support vector machine methods
    K.Kaur, A.Kumar Malik, B.Singh, M.Goodarzi
    Thai J. Pharm. Sci. 2009, 33, 123-136

  • [21] QSPR models for prediction of half wave potentials of some chlorinated organic compounds using SR-PLS and GA-PLS methods
    N.Goudarzi, M.Goodarzi , M. Mohammad Hosseini,M. Nekooei
    Molecular Physics,107, 2009, 1739-1744

  • [22] New Hybrid Genetic Based Support Vector Regression as QSAR Approach for Analyzing Flavonoids–GABA(A) Complexes
    M.Goodarzi , P.R. Duchowicz,C.H. Wu, F.M. Fernández, E.A. Castro
    Journal of Chemical Information and Modeling, 2009,49 (6), 1475–1485

  • [23] Ant colony optimization as a feature selection method in the QSAR modeling of anti-HIV-1 activities of 3-(3,5-dimethylbenzyl)uracil derivatives using MLR, PLS and SVM regression
    M.Goodarzi , M. P. Freitas, R. Jensen
    Chemometrics and Intelligent Laboratory Systems, 2009. 98, 123-129

  • [24] Feature Selection Method Based on Fuzzy Entropy for Regression in QSAR studies
    Z. Elmi , K. Faez, M.Goodarzi , N. Goudarzi
    Molecular Physics,107,2009,1787-1798

  • [25] QSPR modeling of soil sorption coefficients (Koc) of pesticides using SPA-ANN and SPA-MLR
    N. Goudarzi, M.Goodarzi , M.C.U.Araujo,R.K.H.Galvão
    Journal of Agricultural and Food Chemistry , 2009. 57 (15), pp 7153–7158

  • [26] Prediction of Electrophoretic Enantioseparation of Aromatic Amino Acids/Esters Through MIA-QSPR
    M.Goodarzi , M. P. Freitas
    Separation and Purification Technology, 68, 2009. 363-366

  • [27] Direct orthogonal signal correction-partial least squares for simultaneous spectrophotometric determination of sulfamethoxazole and trimethoprim in pharmaceutical formulation and synthetic samples
    M.Goodarzi ,P.Shahbazikhah , M. R. Sohrabi, M. Fathabadi, A. Hassan Nouri
    J. Chil. Chem. Soc., 2009.54, 3, 309-313

  • [28] Prediction of 13C chemical shifts in methoxyflavonol derivatives using MIA-QSPR
    M.Goodarzi , M. P. Freitas, T. C. Ramalho
    Spectrochimica Acta Part A 2009.74, 563-568

  • [29] MIA-QSAR modeling of activities of a series of AZT analogues: biand multilinear PLS regression
    M.Goodarzi , M. P. Freitas
    Molecular Simulation, 2009,36,267-272

  • [30] QSAR Analysis on Spodoptera litura Antifeedant Activities for Flavone Derivatives
    P. R. Duchowicz, M.Goodarzi , M.A. Ocsachoque, G.P. Romanelli, E.V. Ortiz, J.C. Autino, D.Bennardi, D.M. Ruiz, and E.A. Castro
    Science of the Total Environment, 2009,408, 277-285

  • [31] Is Feature Selection Essential for ANN Modeling?
    M.Goodarzi , S.Deshpande, V. Murugesan, S.B. Katti ,Y.S. Prabhakar
    QSAR Comb. Sci, 2009,28,1487-1499

  • [32] MIA-QSAR coupled to principal component analysis-adaptive neuro-fuzzy inference systems (PCA-ANFIS) for the modeling of the anti-HIV reverse transcriptase activities of TIBO derivatives
    M.Goodarzi , M.P. Freitas
    Eur. J.Med. Chem, 45,2010,1352-1358

  • [33] Prediction the solubility of pesticides compounds in water via QSPR
    O.Deeb, M.Goodarzi
    Molecular Physics, 2010, 108,181-192

  • [34] Exploring QSARs for Inhibitory Activity of Nonpeptide HIV-1 Protease Inhibitors by GA-PLS and GA-SVM
    O.Deeb, M.Goodarzi
    Chemical Biology & Drug Design.2010, 75(15), 506-514

  • [35] pKa Modeling and Prediction of a Series of pH Indicators Through Genetic Algorithm-Least Square Support Vector Regression
    M.Goodarzi , M.P. Freitas, C.H. Wu, P.R. Duchowicz
    Chemometrics and Intelligent Laboratory Systems, 2010,101,102-109

  • [36] Prediction of the Hildebrand Parameter of Various Solvents Using Linear and Nonlinear Approaches
    M.Goodarzi , P R. Duchowicz , M.P. Freitas, F.M. Fernández
    Fluid Phase Equilibria, 293,2010,130-136

  • [37] Application of successive projections algorithm (SPA) as a variable selection in a QSPR study to predict the octanol/water partition coefficients (Kow) of some halogenated organic compounds
    N. Goudarzi, M.Goodarzi
    Anal. Methods,2,2010, 758–764

  • [38] QSPR study of partition coefficients (Kow) of some organic compounds using radial basic function-partial least square (RBF-PLS)
    N. Goudarzi, M.Goodarzi
    Journal of the Brazilian Chemical Society,2010,21, 1776-1783

  • [39] MIA-QSAR, PCA-Ranking and Least-Squares Support-Vector Machines in the Accurate Prediction of the Activities of Phosphodiesterase Type 5 (PDE-5) Inhibitors
    M.Goodarzi , M.P. Freitas
    Molecular Simulation, 2010, 36,871-877

  • [40] Molecular hydrogen interacting with Si-, S- and P-doped C60 fullerenes and carbon nanotube
    M. D. Ganji , N. Ahmadian, M.Goodarzi , H. A. Khorrami
    Journal of Computational and Theoretical Nanoscience, 2011, 8, 1392-1399

  • [41] Linear and Non-linear Relationships Mapping the Henry's Law Parameters of Organic Pesticides
    M.Goodarzi , E.V. Ortiz, L.D.S. Coelho, P.R. Duchowicz
    Atmospheric Environment, 2010,44,3179-3186

  • [42] PLS and N-PLS-Based MIA-QSTR Modeling of the Acute Toxicities of Phenylsulfonyl Carboxylates to Vibrio fischeri
    M.Goodarzi , M.P. Freitas
    Molecular Simulation, 2010,36,953-959

  • [43] Theoretical Study of the Relationship Between Wiener, Padmakar-Ivan, Szeged Topological Indices in Contrast to Energy, Electric Moments and Partition Coefficient of Armchair Polyhex Carbon Nanotubes with Various Circumference and Fixed Lengths
    E. Mohammadinasab , M.Goodarzi
    Fullerenes, Nanotubes and Carbon Nanostructures, 2011,19,550-563

  • [44] QSAR Studies of Bioactivities of 1-(Azacyclyl)-3-Arylsulfonyl-1H-Pyrrolo[2,3-b]Pyridines as 5-HT6 Receptor Ligands Using Physicochemical Descriptors and MLR and ANN Modeling
    M.Goodarzi , M.P. Freitas,N.Ghasemi
    Eur. J.Med. Chem, 2010,45,3911-3915

  • [45] QSPR modeling of bioconcentration factors of nonionic organic compounds
    O.Deeb, P.V. Khadikar, M.Goodarzi
    Environmental Health Insights , 2010,6,33-47

  • [46] Prediction of Gas/Particle Partitioning Coefficients of Semi Volatile Organic Compounds via QSAR Methods: PC-ANN and PLS analysis
    O.Deeb, P.V. Khadikar, M.Goodarzi
    Journal of the Iranian Chemical Society, 2011,8 , 176-192

  • [47] QSAR and Docking Studies of Novel Antileishmanial Diaryl Sulfides and Sulfonamides
    M.Goodarzi , E.F.F. da Cunha, M.P. Freitas, T.C.Ramalho
    Eur. J.Med. Chem, 2010,45,4879-4889

  • [48] CFD simulation of solid–liquid flow in a two impinging streams cyclone reactor:Prediction of mean residence time and holdup of solid particles
    N.Ghasemi, M. Sohrabi, M.Khosravi, A.S. Mujumdar, M.Goodarzi
    Chemical Engineering and Processing, 2010,49,1277-1283

  • [49] QSPR predictions of heat of fusion of organic compounds using Bayesian regularized artificial neural networks
    M.Goodarzi , T. Chen, M.P. Freitas,
    Chemometrics and Intelligent Laboratory Systems, 2010,104,260-264

  • [50] Prediction of melting point for drug-like compounds via QSPR methods
    O.Deeb, M.Goodarzi , S.Alfalah ,
    Molecular Physics, 2011,109, 507-516

  • [51] Predictive QSPR Study of the Dissociation Constants of Diverse Pharmaceutical Compounds
    A.G. Mercader, M.Goodarzi , P.R. Duchowicz, F.M. Fernandez, E.A. Castro ,
    Chemical Biology & Drug Design, 2010,76, 433–440

  • [52] Conformational Analysis for a Series of Thienyl Triazoles Derivatives that Act as Cyclin-Dependent Kinase 5/P25 Inhibitors
    R. Rad-curpan , L. Ostopovici-halip , S. Funar-timofei, M.Goodarzi , T. Suzuki
    Journal of Toyo University, Natural Science, 2011, 55 79-90

  • [53] Consensus features of CP-MLR and GA in modeling HIV-1 RT inhibitory activity of 4- benzyl/benzoylpyridin-2-one analogues
    S. Deshpande, R. Singh, M. Goodarzi, S.B. Katti, Y.S. Prabhakar
    Journal of Enzyme Inhibition and Medicinal Chemistry, 2011, Accepted

  • [54] QSAR prediction of HIV inhibition activity of styrylquinoline derivatives by genetic algorithm coupled with multiple linear regressions
    N.Goudarzi, M. Goodarzi, T.Chen
    Medicinal Chemistry Research, 2011, Accepted

  • [55] Theoretical investigation of relationship between quantum chemical descriptors, topological indices, Energy and Electric Moments of zig-zag polyhex carbon nanotubes TUHC6 [2p,q] with various Circumference [2p] and fixed Lengths
    M. Goodarzi, E. Mohammadinasab
    Fullerenes, Nanotubes and Carbon Nanostructures,2011, Accepted

  • [56] Linear and nonlinear quantitative structure–activity relationship modeling of the HIV-1 reverse transcriptase inhibiting activities of thiocarbamates
    M. Goodarzi,M.P. Freitas, Y. Vander Heyden
    Analytica Chimica Acta 2011, Accepted

  • [57] Classification models for neocryptolepine derivatives as inhibitors of the ß-haematin formation
    B. Dejaegher, L. Dhooghe, M. Goodarzi,S. Apers,L. Pieters, Y. Vander Heyden
    Analytica Chimica Acta 2011, Accepted

  • [58] MIA-QSAR coupled to different regression methods for the modeling of antimalarial activities of 2-aziridinyl and 2,3-bis-(aziridinyl)-1,4-naphtoquinonyl sulfate and acylate derivatives
    M. Goodarzi,M.P. Freitas
    Medicinal Chemistry, 2011, Accepted

  • [59]Theoretical Studies on Interaction Between Methanol and Functionalized Single-Walled Carbon Nanotubes
    M.D. Ganji, M. Goodarzi,M. Nashtahosseini,A. Mommadi-nejad
    Commun. Theor. Phys,2011,55,365-370

  • [60] Near-infrared spectroscopy for in-line monitoring of protein unfolding and its interactions with lyoprotectants during freeze-drying
    S.Pieters, T.D.Beer, J.C. Kasper, D.Boulpaep, O.Waszkiewicz, M. Goodarzi, C.Tistaert, W.Friess, J.P.Remon, C.Vervaet, Y.V.Heyden
    Anal. Chem - 2012, 84, 947–955

  • [61]Feature selection methods in QSAR studies
    M. Goodarzi,B. Dejaegher, Y. Vander Heyden,
    The Journal of AOAC international - In press

  • [62]Quantum chemical QSAR models to distinguish between inhibitory activities of sulfonamides against human Carbonic Anhydrase I, II and bovine IV isozymes
    O.Deeb, M. Goodarzi, P.V. Khadikar
    Chemical Biology & Drug Design - In press

  • [63]Variable Selection and Reduction in Multivariate Calibration and Modelling
    Y.V.Heyden, J.P.M. Andries, M. Goodarzi,
    LCGC Europe , 2011, 24, 642-644 - In press

  • [64]Predictive insight into the relationship between AhR binding property and toxicity of polybrominated diphenyl ethers by PLS-derived QSAR
    C.Gu, M. Goodarzi, X.Yang, Y.Bian, C.Sun, X.Jiang,
    Toxicology Letters,2012, 208, 269– 274

  • [65]Simultaneous spectrophotometric determination of nitroanilines using genetic-algorithm-based wavelength selection in principal component-artificial neural network
    M. Goodarzi,A.K. Malik, N. Goudarzi
    African Journal of Pharmacy and Pharmacology,2012, 6, 135-143

  • [66]Modelling heterocyclic azo dye affinities for cellulose fibres by computational approaches
    S. Funar-Timofei, W.M.F. Fabian, L. Kurunczi, M. Goodarzi, S.Tahir Ali, Y. Vander Heyden,
    Dyes and Pigments, 2012, 94,278-289

  • [67]QSRR modeling for diverse drugs using different feature selection methods coupled with linear and nonlinear regressions
    M. Goodarzi, R. Jensen, Y. Vander Heyden,
    Journal of Chromatography B,2012, In Press,

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Oral Presentations


  • [1] Is Feature Selection Essential for ANN Modelling?
    M Goodarzi, S Deshpande , V Murugesan, SB Katti,Y S Prabhakar
    Eighth International Conferenceon Mathematical Chemistry and Fifth Indo-US Workshop on Mathematical Chemistry” ,Duluth, Minnesota, USA during June 22 - 27, 2008

  • [2] Feature selection methods in QSAR studies
    M Goodarzi ,Y. Vander Heyden
    15th Forum of Pharmaceutical Sciences, May 12th-13th 2011, Spa, Belgium

  • [3] Data analysis of HPLC fingerprints from Mallotus and Phyllanthus samples
    S. Thiangthum , B. Dejaegher, M Goodarzi , C. Tistaert, Y. Vander Heyden
    15th Forum of Pharmaceutical Sciences - May 12th-13th 2011, Spa, Belgium

  • [4] Chromatographic herbal fingerprints: development, validation and data handling
    B. Dejaegher ,C. Tistaert, M Goodarzi ,G. Alaerts, Y. Vander Heyden
    Kwaliteitsaspecten van Geneeskrachtige Planten - Nederlandse Vereniging voor GeneeskruidenOnderzoek (NVGO) - May 27th 2011 - Strombeek-Bever - Belgium

  • [5] Basic unsupervised and supervised multivariate data analysis
    B. Dejaegher ,C. Tistaert, M Goodarzi ,M. Dumarey, G. Alaerts, Y. Vander Heyden
    Workshop Metabolomics: Basics and Applications to Plant Sciences - April 11th-15th 2011 - Leiden - The Netherlands

  • [6] " Flash presentation " Fuzzy Rough Set as feature selection for QSAR modeling of 2,4,5-trisubstituted imidazoles, nontoxic modulators of P-glycoprotein mediated multidrug resistance
    M Goodarzi ,S. Funar-Timofei , B. Dejaegher, R. Jensen, Y. Vander Heyden
    12th Scandinavian Symposium on Chemometrics (SSC12) - June 7th-10th 2011, Billund, Denmark

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Poster Presentations

  • [1] The relation between Activation Enthalpy and Entropy in poly p-phenylene solphide(PPS)
    M.Shahmansouri, M.Goodarzi
    4thInternational Seminar on Polymer science and technology september 27-29,2005, Amirkabir University , Tehran, Iran

  • [2] Spectrophotometric simultaneous determination of zinc(II), manganese(II) and iron(II) in pharmaceutical preparations using OSC-PLS
    A. Niazi, A. Yazdanipour, M.Goodarzi , H.R. Kamkar, A. Rafinejad
    1st Iranian Seminar of Chemometrics, September 5-6, 2006, Arak University, Iran

  • [3] Simultaneous spectrophotometric determination of uranium and thorium using Arsenazo III by H-point standard addition method and partial least squares regression
    A. Niazi, N. Ghasemi, M. Goodarzi , A. Ebadi
    1st Iranian Seminar of Chemometrics, September 5-6, 2006, Arak University,Iran

  • [4] Estudio QSAR de la actividad anti-alimentaria de flavonoides frente a spodoptera litura
    P.R.Duchowicz , G.P.Romanelli, M.A.Ocsachoque, J.C.Autino, D.O.Bennardi, D.M. Ruiz, M.Goodarzi, E.A.Castro
    Universidad Nacional de Tucuman , Facultad de Bioquimica, Quimica y Farmacia XXVII congreso Argentino de Quimica "Dr.Pedro Jose Aymonino" 17 al 19 de Septiembre de 2008, Tucuman-Argentina

  • [5] Multivariate Image Analysis in QSAR (MIA-QSAR): application to a series of anti-HIV-1 compounds
    M.P. Freitas , E. F. F. da Cunha, T.C. Ramalho, M.Goodarzi
    Brazilian Chemical Society (SBQ). Division of Medicinal Chemistry. 4th Brazilian Symposium on Medicinal Chemistry, 9-13 November 2008 ,Porto de Galinhas PE Brazil

  • [6] The solubility Challenge: A Prospective retrospective analysis
    S Deshpande , M Goodarzi, B.K.Sharma, S.B.Katti, Y.S. Prabhakar
    Fourth Indo-US lecture Series on Discrete Mathematical Chemistry (with applications to drug discovery, environmental protection, genomic and proteomics) . Jointly organised by India and USA (The department of chemistry Nizam college (autonomus), Osmania university basheerbagh, Hyderabad-500001, Andhera Pradesh India & Natural resources research institue university of Minnesota Duluth-55811,Minnesota,USA) , 6-9 January,2009

  • [7] Principal component analysis-ranking as a variable selection method for the simultaneous spectrophotometric determination of phenol, resorcinol and catechol in real samples
    N.Ghasemi , M.Goodarzi, M.Khosravi
    Word Academy of Science, Engineering and Technology WCSET 2009, 26-28 , August , 2009, Singapore

  • [8] Predicción de Permeabilidad Intestinal de Fármacos Mediante Métodos QSPR Lineales y No-Lineales
    A.Talevi, M.Goodarzi, E.V. Ortiz, P.R. Duchowicz , C.L. Bellera, G.Pesce, E.A. Castro , L Bruno-Blanch
    4to. Workshop Argentino de Química Medicinal, División Química Medicinal, Asociación Química Argentina, Universidad Nacional de Lanús, Buenos Aires, Argentina, 14-15 Setiembre de 2010.
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  • [9] Comparing different descriptor selection strategies in QSRR to predict the chromatographic retention of diverse drugs
    M.Goodarzi, B.Dejaegher,Y.V.Heyden
    CAC-201012th international conference on Chemometrics in Analytical Chemistry 18-21 October 2010, Antwerp –Belgium
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  • [10] Exploring 2D and 3D QSAR models of thiocarbamates, a new class of potent non-nucleosides HIV-1 reverse transcriptase inhibitors
    M.Goodarzi, B.Dejaegher,Y.V.Heyden
    CAC-201012th international conference on Chemometrics in Analytical Chemistry 18-21 October 2010, Antwerp –Belgium
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  • [11] Classification models for neocryptolepine derivatives as inhibitors of the B-haematin formation
    B. Dejaegher , L.Dhooghe, M.Goodarzi, S.Apers, L.Pieters, Y.V.Heyden
    CAC-201012th international conference on Chemometrics in Analytical Chemistry 18-21 October 2010, Antwerp –Belgium

  • [12] Feature selection methods in QSAR studies
    M Goodarzi ,Y. Vander Heyden
    PhD Research Day- April 5th 2011 - Vrije Universiteit Brussel - Brussels – Belgium

  • [13] Comparing different descriptor selection strategies in QSRR to predict the chromatographic retention of diverse drugs
    M Goodarzi ,B.Dejaegher, Y. Vander Heyden
    PhD Research Day- April 5th 2011 - Vrije Universiteit Brussel - Brussels – Belgium

  • [14] Exploring 2D and 3D QSAR models of thiocarbamates, a new class of potent non-nucleosides HIV-1 reverse transcriptase inhibitors
    M Goodarzi ,B.Dejaegher, Y. Vander Heyden
    PhD Research Day- April 5th 2011 - Vrije Universiteit Brussel - Brussels – Belgium

  • [15] conformational analysis on one 2-pyridin-3-ylbenzo[d][1,3]oxazin-4-one based inhibitor of human neutrophil elastase by the rm1 and pm6 semiempirical approaches
    S. Funar-Timofei, M Goodarzi ,A.Borota, Y. Vander Heyden
    12th Edition of Timisoara’s Academic Days, Chemistry, 26-27 May 2011, Timisoara, Romania

  • [16] principal component regression of naphthol – as toxicity
    S. Funar-Timofei,L. Crisan,A. Chicu, M Goodarzi ,G. Simu, D.Ionescu , Y. Vander Heyden
    12th Edition of Timisoara’s Academic Days, Chemistry, 26-27 May 2011, Timisoara, Romania

  • [17] multiple linear regression models of heterocyclic azo dye affinity on cellulose
    S. Funar-Timofei, M Goodarzi, W.M.F. Fabian, L. Kurunczi, Y. Vander Heyden
    12th Edition of Timisoara’s Academic Days, Chemistry, 26-27 May 2011, Timisoara, Romania

  • [18] how to choose the best methodology for predicting the accurate bioactive conformations for cdk5- antagonists
    A. Borota , M Goodarzi,S. Funar-Timofei, R. Curpan
    12th Edition of Timisoara’s Academic Days, Chemistry, 26-27 May 2011, Timisoara, Romania

  • [19] Exploring QSAR models based on Locally Weighted Regression coupled with PSO and GA feature selection methods, for predicting the activity of imidazo[1,5-a]pyrido[3,2-e]pyrazines, a new class of phosphodiesterase 10A inhibitors
    M Goodarzi ,T. Geerts, S. Pieters,Y. Vander Heyden
    12th Scandinavian Symposium on Chemometrics (SSC12) - June 7th-10th 2011, Billund, Denmark

  • [20] Linear and nonlinear classifiers coupled with Successive Projections Algorithm variable selection for binary discrimination of chalcone derivatives based on their antileishmanial activity
    M Goodarzi , I. Oita, M.C.U. Araujo, R.K.H. Galvão, Y. Vander Heyden
    12th Scandinavian Symposium on Chemometrics (SSC12) - June 7th-10th 2011, Billund, Denmark

  • [21] Fuzzy Rough Set as feature selection for QSAR modeling of 2,4,5-trisubstituted imidazoles, nontoxic modulators of P-glycoprotein mediated multidrug resistance
    M Goodarzi ,S. Funar-Timofei , B. Dejaegher, R. Jensen, Y. Vander Heyden
    12th Scandinavian Symposium on Chemometrics (SSC12) - June 7th-10th 2011, Billund, Denmark

  • [22] Comparing different descriptor selection strategies in QSRR model building to predict the chromatographic retention of diverse drugs
    M Goodarzi ,B.Dejaegher, Y. Vander Heyden
    12th Scandinavian Symposium on Chemometrics (SSC12) - June 7th-10th 2011, Billund, Denmark

  • [23]Particle swarm optimization and genetic algorithm feature selection methods coupled to locally weighted regression for QSAR modeling of a class of phosphodiesterase 10A inhibitors
    M Goodarzi ,T. Geerts, S. Pieters, Y. Vander Heyden
    ICRM 2011 (Fifth International Chemometrics Research Meeting) September 25-29, 2011, Berg en Dal, The Netherlands

  • [24]Binary classification of chalcone derivatives based on their antileishmanial activity using the Successive Projections Algorithm as feature selection technique
    M Goodarzi ,M.C.Ugulino Araujo, R.K. Harrop Galvao, Y. Vander Heyden
    ICRM 2011 (Fifth International Chemometrics Research Meeting) September 25-29, 2011, Berg en Dal, The Netherlands

  • [25]Comparative Study of Several Conformational Analysis Methods Applied to a 2-Pyridin-3-yl-Benzo[d][1,3]Oxazin-4-one Derivative
    M Goodarzi ,A. Bora, A. BOROTA, S.Funar-Timofei, Y. Vander Heyden
    ICRM 2011 (Fifth International Chemometrics Research Meeting) September 25-29, 2011, Berg en Dal, The Netherlands

  • [26]Classification of HPLC fingerprints for a set of Mallotus and Phyllanthus samples
    M Goodarzi ,B. Dejaegher, C. Tistaert, A.Hoang Le Tuan, H. Nguyen, M. Chau Van, J. Leclercq-Quetin,Y. Vander Heyden
    ICRM 2011 (Fifth International Chemometrics Research Meeting) September 25-29, 2011, Berg en Dal, The Netherlands

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Memberships

  • Belgisch Genootschap Farmaceutische Wetenschappen (Belgian Society of Pharmaceutical Sciences)

  • Belgian Chemometrics Society (BCS)

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Awards

  • Silver Medal of the 38th International Inventions and Innovations Competitions of Geneva.2007

  • Bronze Medal of the 18th International Inventions, Innovations and Technology Exhibition, ITEX 2007, Kuala Lumpur, Malaysia

  • The Best Researcher of the Area 5 , Islamic Azad universities of Iran, 2005

  • The Best Researcher of the Area Markazi, Iran ,2006

  • The Best Researchers of the area 5 of Islamic Azad universities of Iran, 2009

  • The Best Researchers of the Islamic Azad universities of Iran ,2009

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Invention


  • Instrument and Method to Determine Evaporation Rates of Organic Liquids By Measurement of Change of Change Identified Absorption Peak of Organic Materials In IR Spectrum After Identified Time
    M.Goodarzi , K. Mahanpour
    Iran organization record documentary and estates of country (under investigate of power judicial) the first request 2006, May, 31, final date after accepted 2006,October , 21 ; number of patent is 37204

  • Instrument and Method to Determine Coefficient Transfer Rate in Gases
    M.Goodarzi , K. Mahanpour
    Iran organization record documentary and estates of country (under investigate of power judicial) the first request 2006, May, 31 final date after accepted 2006,October , 21. number of invention 37204

  • Measure air pollutions using genetic algorithm
    M.Goodarzi , M. Nasiri
    Iran organization record documentary and estates of country (under investigate of power judicial) the first request 2007,September , 08, final date after accepted2008,may,15 , the number of patent is 48184

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Reviewer


  • Analytica Chimica Acta

  • Talanta

  • Information sciences

  • African Journal of Pure and Applied Chemistry

  • Letters in Drug Design & Discovery

  • International Journal of Environmental Analytical Chemistry

  • Chemometrics and Intelligent Laboratory Systems

  • Journal of Chemometrics

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Coordinates

Mohammad Goodarzi
Vrije Universiteit Brussel
Faculteit Geneeskunde en Farmacie
Farmaceutisch Instituut
Vakgroep Analytische Scheikunde en Farmaceutische Technologie
Laarbeeklaan 103
B-1090 Brussels Belgium
Tel: (+32) 2 477 47 23
Fax: (+32) 2 477 47 35
Email: mgoodarz@vub.ac.be


©1997-2005 • FABI • Vrije Universiteit Brussel • Faculteit Geneeskunde & Farmacie
Laarbeeklaan 103 • 1090 Jette • Tel.: 02/477.47.37 • Fax.: 02/477.47.35 • fabi@vub.ac.be