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Chemometrics
Lab |
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Ph.D. Student &
member of Prof. Jalali research group |
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Ahmad Mani |
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Chemometrics Lab., Department of
Chemistry, Sharif University of Technology, Tehran, Iran. |
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Science is a great game. It is inspiring and refreshing. The playing field is the universe itself. Isidor Isaac Rabi (1898-1988) |
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Main research interests
and projects: |
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Quantitative Structure-Activity
Relationship |
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Application of Artificial Neural
Networks for modeling of the biological activities of drug like molecules |
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Application of Spline functions
for the model development |
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Development of the optimization methods for variable selection and pattern
recognition studies |
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Classification of anti-HIV compounds |
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Awards and honors: |
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Rank four for MS entrance exam in the field of analytical
chemistry |
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Rank four for the eleventh national Olympiad of chemistry
held in Iran. |
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Rank three for MS entrance exam in the field of inorganic
chemistry |
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Journal Publications: M.
Jalali-Heravi, A. Mani-Varnosfaderani, SAR. QSAR. Env. Res. 22, 2011,
293-314. |
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M. Jalali-Heravi, A.
Mani-Varnosfaderani, QSAR. Comb. Sci, 28, 2009, 946-958. |
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M. Jalali-Heravi, M.
Asadollahi-Baboli, A. Mani-Varnosfaderani, Pharm. Biomed. Anal. 50, 2009,
853-860. Conferences: 1- 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, Anaheim, CA,
USA. 2- 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, 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, 2010 San
Francisco, California, USA. 4- 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. 5- M.
A. 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. 6- M. Jalali-Heravi, A.
Mani-Varnosfaderani,
Classification of glutamate inhibitors using decision trees and counter
propagation artificial neural networks, Oral presentation, 17 th symposium of analytical chemistry,
Kashan, Iran, 2010, September. 7- M. Jalali-Heravi, A.
Mani-Varnosfaderani,
Application of Bayesian adaptive regression splines for QSAR modeling of
glutamate inhibitors, Oral presentation, Biannual seminar of chemometrics, Urumiah, Iran, 2009,
December. 8- M. Jalali-Heravi, A.
Mani-Varnosfaderani,
Combination of pattern search optimization and fuzzy inference system as a method
for rule extraction from complex systems, Poster Presentation,16th seminar of analytical chemistry,
Hamedan, Iran, 2009, June. 9. A.
Mani-Varnosfaderani,
M. Jalali-Heravi, Exploring general structure-activity relationships: Classification of acetyl
cholinesterase and β-secretase inhibitors, Accepted as oral
presentation, 18 th symposium of analytical
chemistry, Zahedan, Iran, 2011, May. 10. 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, Accepted as poster
presentation, 18 th symposium of analytical chemistry, Zahedan, Iran,
2011, May. |
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