Research Interests
The research projects in our lab currently focus on two following fields:
1)QSPR and QSAR
We are trying to establish new models to find the relationship between the functions or properties of proteins as well as small molecules and their structural information. Such researches are commonly named as QSAR (Quantitative Structure-Activity Relationship) and QSPR (Quantitative Structure-Property Relationship). These models are commonly based on the algorithmic methods (i.e. linear and non-linear regression analysis, principal component analysis, discriminate analysis…), non-algorithmic methods (i.e. artificial neural networks, genetic algorithms…) and the hybrid methods.
In hybrid models we combine the potential benefits of both methods to improve the performance of the whole system for different biological applications such as protein structural classification, prediction of other protein properties and prediction of interactions between small compounds and proteins.
The algorithmic methods are mostly utilized to generate and also select and optimize the most effective protein features -from the amino acid sequences to the more complex structural properties. Through the procedure of feature optimization, we evaluate the importance of each generated structural parameter in prediction or classification, and then select the most important ones. The non-algorithmic methods, such as genetic algorithms and artificial neural networks are similarly used for both purposes of feature selection and prediction.
The resulting prediction models can be used as helpful means in the procedure of protein and drug design.
2) BioElectromagnetic
We are currently working on this uprising issue to find the response of the biological systems when exposed to the static magnetic fields (SMF) as well as electromagnetic fields (EMF). We are interested to measure the changes in enzyme activity, cell growth and death, gene expression and membrane structure and function, followed by the exposure of biological systems to the SMF or EMF.
List of papers published in local or international Journals:
1. Abdolmaleki P, Movhead M, Taniguchi RI, Masuda K, Buadu LD. Evaluation of Complications of Kidney Transplantation Using Artificial Neural Networks. Nuclear Medicine Communications, 1997;18: 623-630.
2. Abdolmaleki P, Mihara F, Masuda K, Buadu LD. Neural Networks Analysis of Astrocytic Gliomas: pre- and postcontrast MR imaging. Cancer Letters. 1997,118 :69-78,
3. Abdolmaleki P, Buadu LD ,Murayaama S, Murakami J, et al. Neural Network Analysis of Breast Cancer from MRI Findings. Radiation Medicine 1997, 15/5: 283-293.
4. Abdolmaleki P, Buadu LD, Naderimanesh H. Feature Analysis And Classification of Breast Cancer on MR Imaging Appearance using Artificial Neural Network Cancer letters, 171:183-191, 2001
5. Rohandeh M, Abdolmaleki P, Gitee M. Applying a mathematical non-linear model to predict the output of biopsy of breast mass. Iranian J of Medical Physics. 2006; 13:67-80(in Farsi)
6. Sohrabi MR, Abdolmaleki P, Ebrahimi R. Spectrophotometric studies on the simultaneous determination of cadmium and lead by using artificial neural network. Indian J. of Chemistry. 2004;43A:2582-2585
7. Sohrabi MR, Tadayon F, Abdolmaleki P, Nabipoor F, Dorodi Z. Application of artificial neural network for simultaneous spectrrophotometric of calcium and magnesium in serum dialysis fluid. International Jour. Chem., 2004; 14:119-124.
8. Abdolmaleki P, Mokhtari Dizagi M, Vahead MR, Gity M. Logistic discriminant analysis of breast cancer using ultrasound measurements. Iranian Journal of Radiation Research.2004;2(1):27-34
9. Abdolmaleki P, Yarmohammadi M, Gity M. Comparison the performance of the artificial neural network (ANN) and logistic discrininant analysis in prediction of the malignancy of breast tumor from MRI appearance. Iranian Journal of Radiation Research.2004;1(4):217-228
10. Hayatshahi HS, Abdolmaleki P, Safarian S, Khajeh K. Non-linear Quantitative Structure Activity Relationship for adenine derivatives as competitive inhibitors of adenosine deaminase. Biochemical and Biophysical Research Communications 2005; 338:1137-1142
11. Sohrabi MR, Abdolmaleki P, Haghollahi F.Simultaneous spectrophotometric determination of mefenamic acid and paracetamol in pharmaceutical preparation by using artificial neural network. Asian J. of Chemistry 2005; 17:117-124.
12. Abdolmaleki P, Mokhtari Dizagi M, Vahead MR, Gitee M. Applying the artificial neural network in making discrimination of benign and malignant patterns of breast lesions using ultrasonic parameters. Bimonthly Official Publication of Shahed University (Daneshvar), 2005; 56:31-38(in Farsi)
13. Khamehchiyan M.; Abdolmalekei P.; Rakei B. Using Logistic Regreseon Analysis for Landslide Hazard Zonation in Sephidargoleh Area. Amir kabir; 2005;62:65-76 (in Farsi)
14. Sahebjamei H, Abdolmaleki P, Ghanati F. Effects of magnetic field on the antioxidant enzyme activities of suspension-cultured tobacco cells. Bioelectromagnetics. 2006 Sep 20;28(1):42-47
15. Abdolmaleki P, Gity M, Tahmasebi M. Neural Network Analysis of Breast Cancer from Mammographic Evaluation Iran. J. Radiol., Spring 2006, 3(3) 155-162
16. Abdolmaleki P, Abrishami-Moghddam H, Gity M, Mokhtari-Dizaji M, Mostafa A, Improving the performance of neural network in differentiation of breast tumors using wavelet transformation on dynamic MRI. Iran. J. Radiol., 2006, 3(3): 155-162.
17. Khoshsokhan Mozafar M, Ghanati F. , Zare Maivan H, Abdolmaleki P, Khoramshad K. The effect of static magnetic fields on the metabolism of certain phenolic compounds in red cabbage. Pajouhesh & Sazandegi, 2006; 70: 63-69 (In Farsi)
18. Ghanati F. ,Rajabbeigi E, Sefidkon F, Abdolmaleki P. Investigation on the Effects of Ultraviolet C Radiation on Some physiological parameters of Aloe vera L. Iranian J. of Medicinal and Aromatic Plants, 2006, 4:315-331 (In Farsi)
19. Ghanati F. ,Rajabbeigi E, Sefidkon F, Abdolmaleki P. Investigation the changes of essential oil of Ocimum basilicum L. in response to electromagnetic field. Iranian J. of Medicinal and Aromatic Plants, 2006, 3:341-350(In Farsi)
20. Poursheikh Aliasgary M , Jahandideh S, Abdolmaleki P , Kazemnejad A. Analysis and prediction of beta-turn types using multinomial logistic regression and artificial neural network. Bioinformatics. 2007;23:3125-3130
21. Hayatshahi SH, Abdolmaleki P, Ghiasi M, Safarian S. QSARs and activity predicting models for competitive inhibitors of adenosine deaminase. FEBS Lett. 2007;581(3):506-14.
22. Ghanati F, Abdolmaleki P, Vaezzadeh M, Rajab beigi E, Yazdani M. Application of magnetic field and Iron in order to change medicinal products of Ocimum basilicum. Envirmentalist. 2007; 27:429-434.
23. Abdolmaleki P, Ghanati F, Sahebjamei H, Sabet Sarvestani A. Peroxidase activity, lignification and promotion of cell death in tobacco cells exposed to Static magnetic field. Envirmentalist.2007;27:435-440.
24. Rakei B, Khamehchiyan M.; Abdolmalekei P, Ghiahechi P. Using Artificial neural network for Landslide Hazard Zonation in Sephidargoleh Area; Journal of Sciences University of Tehran; 2007;1:57-64 (In Farsi)
25. Jahandideh S, Barzegari Asadabadi E, Abdolmaleki P, Jahandideh M, Hoseini S. Protein psychrophilicity: Role of residual structural properties in adaptation of proteins to low temperatures. J Theor Biol. 2007 Oct 21;248(4):721-6.
26. Jahandideh S, Abdolmaleki P, Jahandideh M, Barzegari Asadabadi E. Novel two-stage hybrid neural discriminant model for predicting proteins structural classes. Biophysical Chemistry. 2007 Jun;128(1):87-93.
27. Jahandideh S, Abdolmaleki P, Asadabadi EB. Prediction of future citations of a research paper from number of its internet downloads. Med Hypotheses, 2007;69(2):458-9.
28. Jahandideh S, Abdolmaleki P, Jahandide M, Barzegari EB. Sequence and structural parameters enhancing adaptation of proteins to low temperatures. J Theor Biol. 2007 May 7;246(1):159-66.
29. Jahandideh S, Abdolmaleki P, Jahandide M, Hayatshahi HS. Novel hybrid method for the evaluation of parameters contributing in determination of protein structural classes. J Theor Biol. 2007 Jan 21;244(2):275-81.
30. Sohrabi MR, Abdolmaleki P, Davallo M. PA Haeri Using artificial neural network for simultanrous spectrophotometric determination of Cobalt and Nickel. Asian Journal of Chemistry 2007; 19,109-115
31. Jahandideh S, Sarvestani AS , Abdolmaleki P, Jahandideh M, Barfeie M. gamma-Turn types prediction in proteins using the support vector machines. J Theor Biol.. 2007 Dec 21;249(4):785-90.
32. Niroei M, Abdolmaleki P, Gitee M. Simmulation of a hybrid model using Genetic algorithm and neural network analysis for differentiation of malignant and benign patterns in breast cancer from mammographic findings. Iranian J of Medical Physcics . 2007; 3:15-22 (in Farsi)
33. Rezaei MA, Abdolmaleki P, Karami Z, Asadabadi EB, Sherafat MA, Abrishami-Moghaddam H, Fadaie M, Foroozan M. Prediction of membrane protein types by means of wavelet analysis and cascaded neural networks. J Theor Biol. 2008; 254:817-820
34. Jahandideh S, Movahedi MM, Karami Z, Barzegari Asadabadi E, Abdolmaleki P, Hosseini S, Javani Jouni F, Jahandideh M. Elucidating the protein cold adaptation: Investigation of the parameters enhancing protein psychrophilicity, 2008; 255(1):113-8.
35. Mokhtari Dizaji M, Abdolmaleki P, Saberi H, Rahmani T, Applying the logistic regression model to predict the stenosis in carotid artery using the sequential color doppler ultrasound image processing Iranian Heart Journal, 2008, 9 (2):43:50
36. Mokhtari Dizagi M , Abdolmaleki P, Saberi H, Rahmani T. Applying the logistic regression model to predict the stenosis in carotid artery using the sequential color doppler ultrasound image processing, Iranian Heart Journal;2008;9:43-50
37. Jahandideh S, Abdolmalekei P, Movahedi MM, Prediction of protein structural class in two states using the hybrid neural-logistic model. Journal of Sciences University of Tehran; 2008;33(4):27-33 (in Farsi)
38. Afshari H, Minaei S, Almasi M, Abdolmaleki P. Investigation of damaged potato due to dynamical loading. Iranian J of sciences and food technology, 2008; 5(2):15-22(in Farsi)
39. Sabet sarvestani A. , Abdolmaleki P, Mowla SJ, Ghanati F, Tavassoli Z , Heshmati E. Study the effects of Static Magnetic Field on cell cycle progression in Mesenchymal Bone Marrow Stem Cells of rat, Modares J of Medical Science; 2009:3 & 4: 9-18 (in Farsi)
40. Javani Jouni F, Abdolmaleki P, Ghanati F. Investigation on the effect of static magnetic field on the activity of antioxidant enzymes and flavonoid content in Vicia faba, 2009: In process(in Farsi)
41. Niroei M, Abdolmaleki P, Tavakoli A, Gitee M. Feature Selection and Classification of Brest Cancer on Dynamic MRI Using Genetic Algorithm and Artificial Neural Networks, Journal of electrical systems;2009; 5(1):**-**
42. Barzegari Asadabadi E, Barkouhi SM, Jahandideh S, Abdolmaleki P. A novel combinatorial feature selection and hybrid modeling approach to describe QSARs in dual binding site acetylcholinesterase inhibitors. Journal of Science University of Tehran, 2009; In press
43. Tavassoli Z, Abdolmaleki P, Mowla SJ, Ghanati F, Sabet sarvestani A. Investigation of the effects of Static Magnetic Field on apoptosis in Bone Marrow Stem Cells of rat, Envirmentalist. 2009; 29:220-224
44. Sarayegord_Afshari N, Abdolmaleki P, F. Abbasisiar, Ghiassi_Nejad M. Determination of 40K concentration in milk samples consumed in Tehran-Iran and estimation of its annual effective dose. Iranian Journal radiation research, 2009; In process
45. Jahandideh S, Abdolmaleki P, Movahedi MM. Comparing performances of logistic regression and neural networks for predicting melatonin excretion patterns in the rat exposed to ELF magnetic fields. Bioelectromagnetics. 2010 Feb;31(2):164-71. PubMed PMID: 19771546.
46. Sarvestani AS, Abdolmaleki P, Mowla SJ, Ghanati F, Heshmati E, Tavasoli Z,Jahromi AM. Static magnetic fields aggravate the effects of ionizing radiation on cell cycle progression in bone marrow stem cells. Micron. 2010 Feb;41(2):101-4.Epub 2009 Oct 24. PubMed PMID: 19926297.
47. Asadabadi EB, Abdolmaleki P, Barkooie SM, Jahandideh S, Rezaei MA. A combinatorial feature selection approach to describe the QSAR of dual site inhibitors of acetylcholinesterase. Comput Biol Med. 2009 Dec;39(12):1089-95. Epub 2009 Oct 24. PubMed PMID: 19854437.
48. Heshmati E, Abdolmaleki P, Mozdarani H, Sarvestani AS. Effects of halogen substitution on Watson-Crick base pairing: a possible mechanism for radiosensitivity. Bioorg Med Chem Lett. 2009 Sep 1;19(17):5256-60. Epub 2009 Jul PubMed PMID: 19643605.
