Basic Sciences

Assistant Professor of Analytical Chemistry, Tarbiat Modares University, Tehran, Iran, 2013-present

Assistant Professor, Department of Biomedical Engineering, Isfahan University of Medical Sciences, 2012-2013.

Educational Background(s)

Sabbatical Leave: University of Bern, Berne, Switzerland, 2011-2012.

PhD: Sharif University of Technology, Department of Chemistry, Chemometrics, 2008-2012.

MSc:Sharif University of Technology, Department of Chemistry, Chemometrics, 2006-2012.

BSc:University of Tabriz, Department of Chemistry, 2003-2006.

Thesis Title(s)

Sabbatical Leave: Fragmentation analysis of the GDB-13, using scaffold forest methodology.

PhD: Development and application of chemometrics techniques for classification and similarity analysis of drug activities: Introduction of classical relativity in chemical space.

MSc: Modeling the anti-HIV activities of amides as CCR5 modulators

BSc: Preparation of AuCN for elctroless gold plating in Nickel based plating bathes

Honors

Ranked 2^nd among BSc students, Department of Chemistry, University of Tabriz, 2006

Ranked 3^rd among Msc students, Department of Chemistry, Sharif University of Technology, 2008.

Ranked 1^st , PhD enterance exam, Sharif University of Technology, 2008.

Ranked 1^st among analytical chemistry PhD students, Sharif University, 2012.

Ranked 2^nd among PhD students, Sharif University, 2012.

Ranked 3^rd among more than 9000 students, master entrance exam 2006.

Ranked 4^th, National Olympiad of Chemistry students, Tehran, Iran, 2006.

Peer reviewed journal publications

 [25] A. Mani-Varnosfaderani, A. Kanginejad, K. Gilany, A. Valadkhani, Estimating complicated baselines in analytical signals using the iterative Bayesian regularized artificial neural networks, Anal. Chim. Acta, 2016, 940, 56–64.

[24] M. Ebrahimi, A. Mani-Varnosfaderani, T. Khayamian, S. Gharaghani, An in silico approach to design peptide mimetics based on docking and molecular dynamics simulation of EGFR-matuzumab complex, J. Iran. Chem. Soc., 2016, 13, 1805–1817.

[23] A. Mani-Varnosfaderani, M. Jamshidi, A. Yeganeh, M. Mahmoudi, Concentration profiling of minerals in iliac crest bone tissue of addicted humans using inductively coupled plasma and discriminant analysis techniques, J. Pharmacut. Biomed. Anal., 2016, 120, 92–99.

[22] N. Alizadeh, M. Babaei, M. S. Alizadeh, A. Mani-Varnosfaderani, Simultanious analysis of aliphatic alchohols using an electronic nose based on nano/micro structured conducting polypyrrole film prepared by catalytic electropolymerization on Cu/Au interdigital electrodes using multivariate calibration, IEEE Sensors, 2016, 16, 418 – 425.   

[21] A. Mani-Varnosfaderani, M. Ghaemmaghami, Assesment of orthogonality in 2-D separation systems using criteria defined by maximal information coefficient, J. Chromatogr. A, 2015, 1415, 108-114.

[20] N. Alizadeh, S. Pirsa, A. Mani-Varnosfaderani, M. S. Alizadeh, Design and fabrication of open- tubular array gas sensors based on conducting polypyrrole modified with crown ethers for simultaneous determination of alkylamines, IEEE Sensors, 2015, 15, 4130-4136.

[19] M. Asadollahi-Baboli, A. Mani-Varnosfaderani, Therapeutic index modeling and predictive QSAR of novel thiazolidin-4-one analogs against Toxoplasma gondii, Eur. J. Pharm. Sci., 2015, 70, 117-124.

[18] A. Mani-Varnosfaerani, A. Valadkhani, M. Jalali-Heravi, CS-MINER: A freely available tool for association mining in Binding-DB, Mol. Inform., 2015, 34, 185-196. [Hot Paper]

 [17] A. Valadkhani, M. Asadollahi-Baboli, A. Mani-Varnosfaderani, QSAR study of the inhibitors of the acetyl-CoA carboxylase 1 and 2 using Bayesian regularized genetic neural networks: A comparative study, J. Braz. Chem. Soc. 2015. 26, 619-631.

[16] N. Jafarzadeh, A. Mani-Varnosfaderani, K. Gilany, Metabolomics fingerprinting of seminal plasma from unexplained infertile men: A need for novel diagnostic biomarkers, Mol. Rep. Develop, 2015, 82, 150.

[15] F. Fathi, A. Mani-Varnosfaderani, 1H NMR based metabolic profiling in Crohn's disease by random forest methodology, Magnet. Res. Chem., 2014, 52, 370-376.

[14]   M. Asadollahi-Baboli, A. Mani-Varnosfaderani, Chemometrics-Assisted GC-MS Analysis of Volatile and Semi-Volatile Constituents of Elettaria cardamomum, Food Anal. Methods, 2014, 7, 1745-1754.

[13]    M. Asadollahi-Baboli, A. Mani-Varnosfaderani, Rapid and simultaneous determination of tetracycline and cefixime antibiotics by mean of gold nanoparticles-screen printed gold electrode and chemometrics tools, Measurement, 2014, 47, 145-149.

[12]    M. Jalali-Heravi, A. Mani-Varnosfaderani, A. Valadkhani, Integrated one-against-one classifiers as tools for virtual screening of compound databases: A case study with CNS inhibitors, Molecular Informatics, 2013, 32, 742–753.

[11]    M. Asadollahi-Baboli, A. Mani-Varnosfaderani, Molecular docking, molecular dynamics simulation, and QSAR model on potent thiazolidine-4-carboxylic acid inhibitors of influenza neuraminidase, Med. Chem. Res. 2013, 22, 1700-1710.

[10]    M. Asadollahi-Baboli, A. Mani-Varnosfaderani, Application of computational methods to predict absorption maxmia of organic dyes used in solar cells, J. Theor. Comp. Chem., 2013, 12, 1250114.

[9]      M. Asadollahi-Baboli, A. Mani-Varnosfaderani, Shuffling multivariate adaptive regression splines as a predictive method for modeling of novel pyridylmethylthio derivatives as VEGFR2 inhibitors, Med. Chem. Res., 2013, 22, 2645-2653.

[8]      M. Jalali-Heravi, A. Mani. Varnosfaderani, Navigating drug-like chemical space of anti-cancer molecules using genetic algorithms and counterpropagation artificial neural networks, Molecular Informatics, 2012, 31, 63-74.

[7]      M. Jalali-Heravi, A. Mani-Varnosfaderani, The use of Bayesian nonlinear regression techniques for the modelling of the retention behaviour of volatile components of Artemisia species, SAR QSAR Environ. Res, 23, 2012, 461-483.

 [6]      H. Parastar, M. Jalali-Heravi, H. Sereshti, A. Mani-Varnosfaderani, Chromatographic fingerprint analysis of secondary metabolites in citrus fruits peels using gas chromatography–mass spectrometry combined with advanced chemometric methods, J. Chromatogr. A., 2012, 1251, 176–187.

[5]      R. F. Alamdari, A. Mani-Varnosfaderani, M. Asadollahi-Baboli, A. Khalafi-Nezhad, Monte Carlo sampling and multivariate adaptive regression splines as tools for QSAR modelling of HIV-1 reverse transcriptase inhibitors, SAR QSAR Environ. Res. 2012, 23, 665-682.

[4]      M. Jalali-Heravi, A. Mani-Varnosfaderani, M. M. Mahmoodi, M. Taherinia, P. E. Jahromi, Classification of anti-HIV compounds using counterpropagation artificial neural networks and decision trees, SAR QSAR Environ. Res, 2011, 22, 639-660. [Hot Paper]

[3]      M. Jalali-Heravi, A. Mani-Varnosfaderani, QSAR modeling of integrin antagonists using enhanced Bayesian regularized genetic neural networks, SAR QSAR Environ. Res, 2011, 22, 293-314.

[2]      M. Jalali-Heravi, M. A. Baboli, A. M. Varnosfaderani, Shuffling multivariate adaptive regression splines and adaptive neuro-fuzzy inference system as tools for QSAR study of SARS inhibitors, J.Pharm. Biomed. Anal. 2009, 50, 853-860.

[1]M. Jalali-Heravi, A. M. Varnosfaderani, QSAR Modeling of 1-(3,3-Diphenylpropyl)-Piperidinyl Amides as CCR5 Modulators Using Multivariate Adaptive Regression Spline and Bayesian Regularized Genetic Neural Networks, QSAR Comb. Sci. 2009, 9, 946-958.

Book(s)

OMICS: New insight to modern biology, Gohar-bar Publication, June 2016.

International Conferences

[5] M. Jalali-Heravi, A. Mani-Varnosfaderani, A. Bigdeli, Application of robust nonlinear regression techniques for unraveling quantitative structure activity relationships in drug design, 241st ACS National Meeting, Medicinal Chemistry Division, Anaheim, CA, USA.

[4]M. Jalali-Heravi, A. Mani-Varnosfaderani, A. Bigdeli, M. R. Lotfi, Classification and similarity analysis of leads and drug-like molecules using artificial neural networks, decision trees and virtual screening methods, 241st ACS National Meeting, Medicinal Chemistry Division, Anaheim, CA, USA.

[3] M. Jalali-Heravi, A. Mani-Varnosfaderani, M. M. Mahmoodi, M. Taherinia, P. E. Jahromi, A molecular library for classification and similarity analysis of anti-HIV compounds, ACS symposium, ACS, March 21-25, Medicinal Chemistry Division,2010 San Francisco, California, USA.

[2] A. Mani-Varnosfaderani, M. Jalali-Heravi, Combination of local search methods with Bayesian regularized genetic neural networks: QSAR study of α4β7 and α4β1 integrin antagonists, 11th conference of chemometrics, Budapest, Hungary, 2009, September.

[1] M. Asadollahi-Baboli, A. Mani-Varnosfaderani, M. Jalali-Heravi, Application of spline functions for modeling the activity of SARS inhibitors, 11th conference of chemometrics, Budapest, Hungary, 2009, September.

National Conferences

[18] A. Mani-Varnosfaderani, Atefeh Kanginejad,Multivariate curve resolution with lasso regression: a survey on estimation of rotational ambiguity for sparsity constraint, Oral Presentation, 23th seminar of Analytical Chemistry, Sharif University of Technology, Tehran, Iran, August 2016.  

[17] M. Neiband, A. Mani-Varnosfaderani, A. Benvidi, Classification of Sphingosine kinase inhibitors using genetic algorithm and counter propagation artificial neural network, Poster Presentation, 23th seminar of Analytical Chemistry, Sharif University of Technology, Tehran, Iran, August 2016. 

[16] A. Mani-Varnosfaderani, K. Gilany,Untargeted metabolomic profiling of seminal plasma of non-obstructive azoospermia men using gas chromatography-mass spectrometry and advanced chemometric techniques, Oral Presentation, 22^nd Iranian Seminar of Analytical Chemistry, Tehran, Feb 2016.

[15] M. Soleimani, A. Mani-Varnosfaderani, N. Alizadeh, Simultaneous determination of diphenylamine derivatives using uv-vis spectroscopy and chemimetrics techniques, Poster Presentation, 22^nd Iranian Seminar of Analytical Chemistry, Tehran, Feb 2016.  

[14] A. Mani-Varnosfaderani, A. Kanginejad, Multivariate curve resolution-alternating least squares with sparsity constraint, Poster Presentation, 22^nd Iranian Seminar of Analytical Chemistry, Tehran, Feb 2016.

[13] V. Mohammadrezaei, A. Mani-Varnosfaderani, M. Ebrahimi, QSAR study of tri-substituted 1,2,4- triazoles as inhibitors of the annexin A2-S100A10 protein using the multiple linear regression model, Poster Presentation, 5^th international Iranian biannual conference of Chemometrics, University of Tehran, October 2015.   

[12] A. Mani-Varnosfaderani, M. Beiband, A. Benvidi, QSAR modeling of Sphingosine kinase inhibitors using multivariate adaptive regression spline and projection based regression techniques, Poster Presentation, 5^th international Iranian biannual conference of Chemometrics, University of Tehran, October 2015.

[11] A. Mani-Varnosfaderani, A. Kanginejad,Estimating complicated baselines in analytical signals by iterative training of bayesian regularized artificial neural networks, Poster Presentation, 5^th international Iranian biannual conference of Chemometrics, University of Tehran, October 2015.

[10] A. Mani-Varnosfaderani, What is in Chemometrics for Chemoinformatics: Validating classical relativity in chemical space, Oral Presentation, 5th international Iranian biannual conference of Chemometrics, University of Tehran, October 2015.

[9] A. Mani-Varnosfaderani, Learning with Sparsity Constraint: Implementation of a new constraint for multivariate curve resolution-alternating least square algorithm, Oral Presentation, 21th Iranian symposium of Analytical Chemistry, March 2015, Ahvaz, Iran. 

[8]   A. Mani-Varnosfaderani, M. Jalali-Heravi, Investigation of Classical Relativity in chemical space by high throughput docking, Oral Presentation, 4^th Iranian National Biannual Seminar of Chemometrics, Shiraz, Iran, December 2013.

[7]    A. Mani-Varnosfaderani,A. Valadkhani, M. Jalali-Heravi, Charting the chemical space of the CNS inhibitors: Introduction of “classical relativity” in chemical space, Oral presentation, 19^th Iranian symposiumof Analytical Chemistry, Mashhad, Iran, February, 2013.

[6]    A. Mani-Varnosfaderani, A. Valadkhani, M. Jalali-Heravi, CS-MINER: A freely available tool for exploring in medicinal-chemical space, Oral presentation, 4^th national conference on Bioinformatics, Tehran, Iran, November 2012. Distinguished presentation.

[5]    A. Mani-Varnosfaderani, M. Jalali-Heravi, Exploring general structure activity relationships, Oral presentation, 18^th Iranian symposium of Analytical Chemistry, Zahedan, Iran, June 2011.

[4]    A. Bigdeli, A. Mani-Varnosfaderani, M. Jalali-Heravi, QSAR study of anti-diabetic inhibitors using artificial neural network modeling assisted with linear and non-linear variable selection methods, Poster Presentation, 18^th Symposium of Analytical Chemistry, Zahedan, Iran, June 2011.

[3]    A. Mani-Varnosfaderani, M. Jalali-Heravi, Classification of glutamate inhibitors using decision trees and counter propagation artificial neural networks, Oral presentation, 17^th  Symposium of Analytical Chemistry, Kashan, Iran, September 2010.

[2]    A. Mani-Varnosfaderani, M. Jalali-Heravi, Application of Bayesian adaptive regression splines for QSAR modeling of glutamate inhibitors, Oral presentation, Biannual Seminar of Chemometrics, Urumiah, Iran, December 2009.

[1]    A. Mani-Varnosfaderani, M. Jalali-Heravi, Combination of pattern search optimization and fuzzy inference system as a method for rule extraction from complex systems, Poster presentation, 16^th symposium of Analytical Chemistry, Hamedan, Iran, June 2009.

Toefl Score

         Reading: 25, Writing: 27, Speaking: 20, Listening: 22.   Total Score: 94.  Dec. 2013.

Courses Taught

·         Analytical Spectroscopy I ( Tarbiat Modares University, 2013-present.)

·         Statistical Interpretation of Results (Tarbiat Modares University, 2013-present)

·         Modeling of Biological Data (Isfahan University of Medical Science, Oct-Nov 2012)

·         Bioinformatics (Isfahan University of Medical Science, Oct-Nov 2013)

·         Advanced Modeling (Isfahan University of Medical Science, Oct-Nov 2013)

·         General Chem. Lab. Spring 2007.

·         Analytical. Chem. 1. Lab. Spring 2007.

·         General Chem. Lab. Fall 2008.

·         Analytical. Chem. 1. Lab. Fall 2008.

·         General Chem. Lab. Spring 2009.

·         General Chem. Lab. Spring 2009.

·         Analytical. Chem. 2. Lab, Fall 2010.

·         Instrumental analysis, Fall 2010.

·         Analytical. Chem. 2. Spring 2010

·         Analytical. Chem. 1. Spring 2010.

·         Analytical. Chem. 2. Lab. Spring 2010.

·         Analytical. Chem. 2. Lab. Summer 2010.