“Changiz Eslahchi”

Tel:  (+98)(21)29903015
Fax:  (+98)(21)22431652
Email: 

IPM Positions

Senior Researcher, School of Biological Sciences
(2006 - Present )

Past IPM Positions

Associate Researcher (non-resident), School of Mathematics
(2005 - 2006)
Associate Researcher (non-resident), School of Mathematics
(2000 - 2001)


Non IPM Affiliations

Professor of Shahid Beheshti University

Related Papers

1. N. Babaiha, R. Aghdam, S. Ghiam and C. Eslahchi
NN-RNALoc: Neural network-based model for prediction of mRNA sub-cellular localization using distance-based sub-sequence profiles
PLOS ONE (2023),   [abstract]
2. R. Masumshah and C. Eslahchi
DPSP: a multimodal deep learning framework for polypharmacy side effects prediction
Bioinformatics Advances (2023),   [abstract]
3. M. Maghsoudi, R. Aghdam and C. Eslahchi
Removing the association of random gene sets and survival time in cancers with positive random bias using fixed-point gene set
Scientific Reports (2023),   [abstract]
4. S. Ghiam, C. Eslahchi, K. Shahpasand, M. Habibi-Rezaei and S. Gharaghani
Identification of repurposed drugs targeting significant long non-coding RNAs in the cross-talk between diabetes mellitus and Alzheimers disease
Scientific Reports (2022),   [abstract]
5. A. Shahir Sadr, Z. Abdollahpour, A. Aliahmadi, Ch. Eslahchi, M. Nekouei, L. Kiaei, M. Kiaei and A. Ghassempour
Detection of structural and conformational changes in ALS-causing mutant profilin-1 with hydrogen/deuterium exchange mass spectrometry and bioinformatics techniques
Metabolic Brain Disease 37 (2022), 229-241  [abstract]
6. Sh. Ghiam, Ch. Eslahchi, K. Shahpasand, M. Habibi-Rezaei and S. Gharaghani
Exploring the role of non-coding RNAs as potential candidate biomarkers in the cross-talk between diabetes mellitus and Alzheimer’s disease
Frontiers in Aging Neuroscience (2022),   [abstract]
7. A. Emdadi and Ch. Eslahchi
Clinical drug response prediction from preclinical cancer cell lines by logistic matrix factorization approach
Journal of bioinformatics and computational biology 20 (2022),   [abstract]
8. M. Taheri-Ledari, A. Zandieh, S. P. Shariatpanahi and Ch. Eslahchi
Assignment of structural domains in proteins using diffusion kernels on graphs
BMC Bioinformatics 23 (2022), 369   [abstract]
9. Sh. Ghiam, Ch. Eslahchi, K. Shahpasand, M. Habibi-Rezaei and S. Gharaghani
Identification of repurposed drugs targeting significant long non-coding RNAs in the cross-talk between diabetes mellitus and Alzheimer’s disease
Scientific Reports 12 (2022), 18332  [abstract]
10. A. Shahir Sadr, Z. Abdollahpour, A. Aliahmadi, C. Eslahchi, M. Nekouei, L. Kiaei, M. Kiaei and A. Ghassempour
Detection of structural and conformational changes in ALS-causing mutant profilin-1 with hydrogen/deuterium exchange mass spectrometry and bioinformatics techniques
Metabolic Brain Disease (2021),   [abstract]
11. R. Masumshah, R. Aghdam and C. Eslahchi
A neural network‑based method for polypharmacy side efects prediction
BMC Bioinformatics 22 (2021),   [abstract]
12. A. Shahir Sadr, C. Eslahchi, A. Ghassempour and M. Kiaei
In silico studies reveal structural deviations of mutant profilin-1 and interaction with riluzole and edaravone in amyotrophic lateral sclerosis
Scientific Reports 11 (2021), 1-14  [abstract]
13. F. Ahmadi Moughari and C. Eslahchi
A computational method for drug sensitivity prediction of cancer cell lines based on various molecular information
Plos One 16 (2021),   [abstract]
14. F. Yassayee and C. Eslahchi
Predicting Anti-Cancer Drug Response by Finding Optimal Subset of Drugs
Bioinformatics (Accepted) [abstract]
15. N. Rohani and C. Eslahchi
Classifying Breast Cancer Molecular Subtypes using Deep Clustering Approach
Frontiers in Genetics (Preprint) [abstract]
16. N. Rohani, F. Ahmadi Moughari and C. Eslahchi
DisCoVering potential candidates of RNAi-based therapy for COVID-19 using computational methods
PeerJ 10.7717/peerj.10505 (2021),   [abstract]
17. S. H. Mahmoodi, R. Aghdam and C. Eslahchi
An order independent algorithm for inferring gene regulatory network using quantile value for conditional independence tests
Scientific Reports 11 (2021), 1-15  [abstract]
18. A. Emdadi and C. Eslahchi
Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model
BMC Bioinformatics (2021), 1-22  [abstract]
19. A. Emdadi and Ch. Eslahchi
DSPLMF: A Method for Cancer Drug Sensitivity Prediction Using a Novel Regularization Approach in Logistic Matrix Factorization
Frontiers in Genetics 11 (2020), 75  [abstract]
20. F. Ahmadi Moughari and Ch. Eslahchi
ADRML: anticancer drug response prediction using manifold learning
Scientific Reports 10 (2020), 1-18  [abstract]
21. N. Rohani, C. Eslahchi and A. Katanforoush
ISCMF: Integrated similarity-constrained matrix factorization for drug–drug interaction prediction
Network Modeling Analysis in Health Informatics and Bioinformatics 9 (2020), 1-8 https://doi.org/10.1007/s13721-019-0215-3  [abstract]
22. F. Yassaee Meybodi, A. Emdadi, A. Rezvan and C. Eslahchi
CAMND: Comparative analysis of metabolic network decomposition based on previous and two new criteria, a web based application
Biosystems 189 (2020), https://doi.org/10.1016/j.biosystems.2019.104081  [abstract]
23. E. Saberi Ansari, Ch. Eslahchi, M. Rahimi, L. Geranpayeh, M. Ebrahimi, R. Aghdam and G. Kerdivel
Significant Random Signatures Reveals New Biomarker for Breast Cancer
BMC Medical Genomics 12 (2019), https://doi.org/10.1186/s12920-019-0609-1  [abstract]
24. S. M. Razavi, F. Rami, S. H. Razavi and Ch. Eslahchi
TOPDRIVER: the novel identifier of cancer driver genes in Gastric cancer and Melanoma
Applied Network Science 4 (2019), https://doi.org/10.1007/s41109-019-0200-x  [abstract]
25. N. Rohani and Ch. Eslahchi
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Scientific Reports 9 (2019), 1 - 11 DOI https://doi.org/10.1038/s41598-019-50121-3  [abstract]
26. Ch. Eslahchi, A. M. Ali Maddi, F. Ahmadi Moughari and M. M. Balouchi
CDAP: An Online Package for Evaluation of Complex Detection Methods
Scientific Reports 9 DOI https://doi.org/10.1038/s41598-019-49225-7 (2019), 1-13   [abstract]
27. A. Emdadi, F. Ahmadi Moughari, F. Yassaee Meybodi and Ch. Eslahchi
A novel algorithm for parameter estimation of Hidden Markov Model inspired by Ant Colony Optimization
Heliyon 5 (2019), https://doi.org/10.1016/j.heliyon.2019.e01299  [abstract]
28. E. Mirzaei Mehrabad, R. Hassan Zadeh and C. Eslahchi
PMLPR: A novel method for predicting subcellular localization based on recommender systems
Scientific Reports 1 (2018), 8  [abstract]
29. N. Sammaknejad, H. Pouretemad, C. Eslahchi, A. Salahirad and A. Alinejad
Gender Classification Based on Eye Movements: A Processing Effect during Passive Face Viewing
Journal Advances in Cognitive Psychology 13 (2017), 232-240  [abstract]
30. A. Maddi and C. Eslahchi
Discovering overlapped protein complexes from weighted PPI networks by removing inter-module hubs
Scientific Reports doi:10.1038/s41598-017-03268-w (2017), 7: 3247  [abstract]
31. R. Khosrowabadi, M. Sadeghi, F. Bakouie, H. Mahdavi, C. Eslahchi and H. Pouretemad
Screening of autism based on task-free fMRI using graph theoretical approach
Psychiatry Research: Neuroimaging 10.1016/j.pscychresns.2017.02.004 (2017), 48-56  [abstract]
32. R. Aghdam. , M. Alijanpour. , M. Azadi. , A. Ebrahimi. , C. Eslahchi. and A. Rezvan.
Inferring Gene Regulatory Networks by PCA-CMI Using Hill Climbing Algorithm Based on MIT Score and SORDER Method
Int. J. Biomath. DOI: 10.1142/S1793524516500406 (2016), 18  [abstract]
33. R. Aghdam, M. Ganjali. , P. Niloofar. and C. Eslahchi.
Inferring gene regulatory networks by an order independent algorithm using incomplete data sets
J. Appl. Statist. DOI:10.1080/02664763.2015.1079307 (2016), 1-21  [abstract]
34. R. Aghdam. , M. Ganjali. , X. Zhang. and C. Eslahchi.
CN: A Consensus Algorithm for Inferring Gene Regulatory Networks Using SORDER Algorithm and Conditional Mutual Information Test
Molecular BioSystems DOI: 10.1039/C4MB00413B (2015), 942-949  [abstract]
35. H. Poormohammadi, C. Eslahchi and R. Tusserkani
TripNet: A Method for Constructing Rooted Phylogenetic Networks from Rooted Triplets
Plos One (2014), http://dx.doi.org/10.1371/journal.pone.0106531  [abstract]
36. A. Rezvan. , S. A. Marashi. and C. Eslahchi.
FCDECOMP: Decomposition of metabolic networks based on flux coupling relations
Bioinformatics and Computational Biology 12 (2014), 21  [abstract]
37. R. Aghdam. , M. Ganjali. and C. Eslahchi.
A Hybrid Algorithm for Inferring Gene Regulatory Networks
Iranian Statistical Conference( In: )
[abstract]
38. H. Poormohammadi. , C. Eslahchi. and R. Tusserkani.
TripNet: A Method for Constructing Rooted Phylogenetic Networks from Triplets
Plos One 9 (2014), 1-12  [abstract]
39. R. Aghdam. , M. Alijanpour. , M. Azadi. , A. Ebrahimi. and C. Eslahchi.
Applying a Hybrid Method based on PC algorithm-based approach and MIT Score to Infer Gene Regulatory Networks
Iranian Conference on Bioinformatics (Accepted) [abstract]
40. R. Hassanzadeh. , C. Eslahchi. and W. Sung.
Do Triplets Have Enough Information to Construct the Multi-Labeled Phylogenetic Tree?
Plos One DOI: 10.1371/journal.pone.0103622 (2014),   [abstract]
41. C. Eslahchi. , H.R. Maimani. , R. Torabi. and R. Tuserkani.
Proper nearly perfect sets in graphs
Ars Combinatoria (Accepted) [abstract]
42. C. Eslahchi. , H.R. Maimani. , R. Torabi. and R. Tuserkani.
Dynamical 2-domination in graphs
Ars Combinatoria (Accepted) [abstract]
43. R. Aghdam. , M. Ganjali. and C. Eslahchi.
IPCA-CMI: An algorithm for Inferring Gene Regulatory Networks Based on a Combination of PCA-CMI and MIT Score
Plos One 9 (2014), e92600  [abstract]
44. E. S. Ansari. , H. Pezeshk. , M. Sadeghi. and C. Eslahchi.
ProDomAs; Protein Domain Assignment Algorithm using Centre-Based Clustering and Independent Dominating Set
Proteins: Structure, Function and Bioinformatics 82 (2014), 1937â??1946  [abstract]
45. C. Eslahchi. and E. S. Ansari.
A New Protein Domain Assignment Algorithm
Communications in Mathematical and Computer Chemistry 71 (2014), 445-456  [abstract]
46. V.Rezaei. , S. Naghizadeh. , H. Pezeshk. , M. Sadeghi. and C. Eslahchi.
Comparison of the bidirectional Baum-Welch algorithm and the Baum-Welch algorithm on regular lattice
Progress in Biological Sciences 2 (2013), 14-22  [abstract]
47. C.Eslahchi.
Discovering domain mediating protein interactions
IRANIAN JOURNAL of BIOTECHNOLOGY 1 (2013), 22-31  [abstract]
48. V.Rezaei. , H. Pezeshk. , M. Sadeghi. and C. Eslahchi.
Assignment Of Protein Sequences To Protein Family Profiles Using Spatial Statistics.
MATCH Communication in Methematical and in Computer Chemistry 69 (2013), 7-24  [abstract]
49. G. Taheri. , M. Habibi. , L. Wong. and C. Eslahchi.
Disruption of Protein Complexes
Bioinformatics and Computational Biology 11 (2013),   [abstract]
50. G. Taheri. , M. Ayati. , S. Arab. , L. Wong. and C. Eslahchi.
Two Scenarios for Overcoming Drug Resistance by Co-Targeting
Bioinformatics Research and Applications (2013), 198 - 202  [abstract]
51. Z. Safikhani. , M. Sadeghi. , H. Pezeshk. and C. Eslahchi.
SSP: An interval integer linear programming for de novo transcriptome assembly and isoform discovery of RNA-seq reads
Genomics 102 (2013), 507-514  [abstract]
52. R. Aghdam. , H. Pezeshk. , S.A. Malekpour. , S. Shemehsavar. , M. Sadeghi. and C. Eslahchi.
A Clustering Approach for Estimating Parameters of a Profle Hidden Markov Model
International Journal of Data Mining and Bioinformatics 8 (2012), 66-82  [abstract]
53. C. Eslahchi. and F. Movahedi.
Calculation Of Transition Probabilities In The Birth And Death Markov Process In The Epidemic Model
Math. Comput. Model 55 (2012), 810-815  [abstract]
54. R. Hassanzadeh. , C. Eslahchi. and W. K. Sung.
Constructing Phylogenetic Supernetworks Based On Simulated Annealing
Molecular Phylogenetics and Evolution 63 (2012), 738-744  [abstract]
55. C. Eslahchi. , R. Hassanzadeh. , E. Mottaghi. , M. Habibi. , H. Pezeshk. and M. Sadeghi.
Constructing Circular Phylogenetic Networks From Weighted Quartets Using Simulated Annealing
Mathematical Biosciences 235 (2012), 123-127  [abstract]
56. H. Poormohammadi. and C. Eslahchi.
Constructing Rooted Phylogenetic Networks From Triplets Based On Height Function
Emerging Technology and Advanced Engineering 2 (2012), 389-393  [abstract]
57. A. Ebrahimi. , R. Aghdam. , N. Parisa. , M. ganjali. and C. Eslahchi.
An Algorithm for Inference of Gene Networks UsingBayesian Network
Emerging Trends in Computing and information Science 5 (2012), 774-782  [abstract]
58. M. Habibi. , C. Eslahchi. , H. Pezeshk. and M. Sadeghi.
An Information Theoretic Approach To Secondary Structure Assignment
MATCH Communications in Mathematical and in Computer Chemistry 65 (2011), 5-20  [abstract]
59. C. Eslahchi. , A. Katanforoush. , H. Pezeshk. and N. Afzaly.
Haplotype Block Partitioning And TagSNP Selection Under The Perfect Phylogeny Model
IRANIAN JOURNAL of BIOTECHNOLOGY 9 (2011),   [abstract]
60. S.Arab. , C. Eslahchi. , M. Sadeghi. , H. Pezeshk. and A. Sheari.
A Pairwise Residue Contact Area-Based Mean Force Potential For Discrimination Of Native Protein Structure
BMC Bioinformatics 11 (2010), 16  [abstract]
61. H. Pezeshk. , S. Naghizadeh. , S. A. Malekpour. , C. Eslahchi. and M. Sadeghi.
A Modified Bidirectional Hidden Markov Model And Its Application In Protein Secondary Structure Prediction
Proceeding of the Second International Conference on Advanced Computer Control 3 (2010), 535-538  [abstract]
62. C. Eslahchi. , M. Habibi. , R. Hassanzadeh. and E. Mottaghi.
MC-Net: A Method For The Construction Of Phylogenetic Networks Based On The Monte-Carlo Method
BMC Evolutionary Biology 10 (2010), 254  [abstract]
63. M. Habibi. , C. Eslahchi. , M. Sadeghi. and H. Pezeshk.
The Interpretation Of Protein Structures Based On Graph Theory And Contact Map
Open Access Bioinformatics 2 (2010), 127-137  [abstract]
64. M. Habibi. , C. Eslahchi. and L. Wong.
A Protein Complex Prediction Based On K-Connected Sub-Graphs In Protein Interaction Network
BMC Systems Biology 4 (2010), 129  [abstract]
65. M. Sadeghi. , H. Pezeshk. , C. Eslahchi. , S. Ahmadian. and S. Mah Abadi.
Construction Of Random Perfect Phylogeny Matrix
Advances and Applications in Bioinformatics and Chemistry 3 (2010), 89-96  [abstract]
66. M. Ayati. , G. Taheri. , S. Arab. , L. Wong. and C. Eslahchi.
Overcoming Drug Resistance By Co-Targeting
Bioinformatics & Biomedicine (2010), 198-202  [abstract]
67. C. Eslahchi. , H. Pezeshk. , M. Sadeghi. , P. Giabbanelli. , F. Movahedi. and V.A. Dabbaghian.
A Probabilistic Model For The Spread Of HIV Infection Among Injection Drug Users
World Journal of Modelling and Simulation 6 (2010), 267-273  [abstract]
68. R. Aghdam. , H. Pezeshk. , S.A. Malekpour. , S. Shemehsavar. , M. Sadeghi. and C. Eslahchi.
A Bidirectional Bayesian Monte Carlo Approach For Estimating Parameters Of A Profile Hidden Markov Model
Applied Science Segment 1 (2010),   [abstract]
69. Ch. Eslahchi (Joint with M. Sadeghi, H. Pezeshk, S. Ahmadian, and S. Mah Abadi)
Construction of random perfect phylogeny matrix
Advances and Applications in Bioinformatics and Chemistry 3 (2010), 89-96  [abstract]
70. H. Mirzaei. , S. Ahmadian. , S. Mahabadi. , M. Sadeghi. , C. Eslahchi. and H. Pezeshk.
An Algorithm for Construction of All Perfect Phylogeny Matrices
MATCH Communication in Methematical and in Computer Chemistry 62 (2009), 251  [abstract]
71. M. Mirzaie. , C. Eslahchi. , H. Pezeshk. and M. Sadeghi.
A distance-dependent atomic knowledge based potential and force for discrimination of native structures from decoys
Proteins: Structure, Function and Bioinformatics 77 (2009), 454-463  [abstract]
72. S. A. Malekpour. , S. Naghizadeh . , H. Pezeshk. , M. Sadeghi. and C. Eslahchi.
Protein secondary structure prediction using three neural networks and a segmental semi Markov model
Mathematical Biosciences 217 (2009), 145-150  [abstract]
73. C. Eslahchi. , H. Pezeshk. , M. Sadeghi. , A. M. Rahimi. , H. Maboudi Afkham. and S. Arab.
STON: Anovel method for protein three-dimensional structure comparison
Computers in Biology and Medicine 39 (2009), 166-172  [abstract]
74. M. Kargar. , H. Poormohammadi. , L. Pirhaji. , M. Sadeghi. , H. Pezeshk. and C. Eslahchi.
Enhanced Evolutionary And Heuristic Algorithms For Haplotype Reconstruction Problem Using Minimum Error Correction Model
Match 62 (2009), 261-274  [abstract]
75. C. Eslahchi. , H. Pezeshk. , M. Sadeghi. and A. S. Attar.
LIBRA: A de Novo Motif Finding In Promoter Sequences Based On Linear Algebra. Proceedings of world Academy of Science
Engineering and Technology 37 (2009), 507-512  [abstract]
76. M. Mirzaie. , C. Eslahchi. , H. Pezeshk. and M. Sadeghi.
A Distance Dependent Atomic Knowledge Based Potential And Force For Discrimination Of Native Structures From Decoys
Protein Journal 77 (2009), 454-463  [abstract]
77. S. A. Malekpour. , S. Naghizadeh. , H. Pezeshk. , M. Sadeghi. and C. Eslahchi.
A Segmental Semi Markov Model For Protein Secondary Structure Prediction
Mathematical Biosciences 221 (2009), 130-135  [abstract]
78. L. Pirhaji. , M. Kargar. , A. Sheari. , H. Poormohamadi. , M. Sadeghi. , H. Pezeshk. and C. Eslahchi.
The Performance Of Chi-Square Test And Complexity Measures For Signal Recognition In Biological Sequences
Journal of Theoretical Biology 251 (2008), 380-387  [abstract]
79. A. Sheari. , M. Kargar. , A. Katanforoush. , S. Arab. , M. Sadeghi. , H. Pezeshk. , C. Eslahchi. and S. A. Marashi.
A Tale of two Symmetrical Tails: Structural and Functional Charateristics of Palindroms in Proteins
BMC Bioinformatics 9 (2008), 274  [abstract]
80. M. Habibi. , C. Eslahchi. , H. Pezeshk. and M. Sadeghi.
An Information Theoritical Approch To Secondary Structure Assignment
Iran. Int. J. Sci. 34 (2008), 41-48  [abstract]
81. S. Naghizadeh. , H. Pezeshk. , M. Sadeghi. , M. Mohammadzadeh. and C. Eslahchi.
A MODIFICATION ON A LEFT-TO-RIGHT AND RIGHT-TO-LEFT DEPENDENCY MODEL FOR SECONDARY STRUCTURE PREDICTION
Iran. Int. J. Sci. 34 (2008), 61-66  [abstract]
82. S. R. Hosseini. , M. Sadeghi. , H. Pezeshk. , C. Eslahchi. and M. Habibi.
PROSIGN: A Method for Protein Secondary Structure Assignment Based on Three-Dimensional Coordinates of Cosecutive Ca atoms
Computational Biology and Chemistry 32 (2008), 406-411  [abstract]
83. C. Eslahchi. , M. Sadeghi. , H. Pezeshk. , M. Kargar. and H. Poormohammadi.
Haplotyping Problem, A Clustering Approach
AIP 936 (2007), 185-190  [abstract]
84. C. Eslahchi. , M. Sadeghi. , H. Pezeshk. , M. Kargar. and H. Poormohamadi.
American Institute of Physics Conference Proceedings
AIP CONF PROC 936 (2007),   [abstract]
85. S. Arab. , F. Didehvar. , C. Eslahchi. and M. Sadeghi.
Helix Segment Assignment In Proteins Using Fuzzy Logic
IRANIAN JOURNAL of BIOTECHNOLOGY 5 (2007), 93-99  [abstract]
86. Ch. Eslahchi and A. M. Rahimi
Some properties of ordered hypergraphs
Mat. Vesnik 59 (2007), 9-13  [abstract]
87. H. Hajiabolhassan, M. Ghebleh and Ch. Eslahchi
Some concepts in list coloring
J. Combin. Math. Combin. Comput. 41 (2002), 151-160  [abstract]
88. A. J. W. Hilton, Ch. Eslahchi and J. K. Dugdale
The Hall-Condition index of a graph and overfull conjecture
J. Combin. Math. Combin. Comput. 35 (2000), 197-216  [abstract]
89. A. J. W. Hilton, Ch. Eslahchi and P. D. Johnson Jr.
Progress on the Hall-Number-Two Problem
Australas. J. Combin. 21 (2000), 211-236  [abstract]
90. Ch. Eslahchi and M.L. Mehrabadi
Characterization of graphs with Hall index 2
Australas. J. Combin. 21 (2000), 13-21  [abstract]
91. Ch. Eslahchi, H. Hajiabolhassan, M.L. Mehrabadi and R. Tusserkani
A counterexample for Hilton-Johnson's conjecture on list-coloring of graphs
Australas. J. Combin. 18 (1998), 127-131  [abstract]
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