Ali Masoudi-Nejad, Professor
Ali Masoudi-Nejad, Professor
Laboratory of Systems Biology and Bioinformatics (LBB), University of Tehran
Verified email at - Homepage
Cited by
Cited by
Kavosh: a new algorithm for finding network motifs
ZRM Kashani, H Ahrabian, E Elahi, A Nowzari-Dalini, ES Ansari, S Asadi, ...
BMC bioinformatics 10, 1-12, 2009
Predictive genomics: a cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data
E Wang, N Zaman, S Mcgee, JS Milanese, A Masoudi-Nejad, ...
Seminars in cancer biology 30, 4-12, 2015
EGassembler: online bioinformatics service for large-scale processing, clustering and assembling ESTs and genomic DNA fragments
A Masoudi-Nejad, K Tonomura, S Kawashima, Y Moriya, M Suzuki, M Itoh, ...
Nucleic acids research 34 (suppl_2), W459-W462, 2006
Reconstruction of an integrated genome-scale co-expression network reveals key modules involved in lung adenocarcinoma
G Bidkhori, Z Narimani, S Hosseini Ashtiani, A Moeini, A Nowzari-Dalini, ...
PloS one 8 (7), e67552, 2013
MODA: an efficient algorithm for network motif discovery in biological networks
S Omidi, F Schreiber, A Masoudi-Nejad
Genes & genetic systems 84 (5), 385-395, 2009
Computational prediction of protein–protein interaction networks: algorithms and resources
J Zahiri, J Hannon Bozorgmehr, A Masoudi-Nejad
Current genomics 14 (6), 397-414, 2013
DeepCDA: deep cross-domain compound–protein affinity prediction through LSTM and convolutional neural networks
K Abbasi, P Razzaghi, A Poso, M Amanlou, JB Ghasemi, ...
Bioinformatics 36 (17), 4633-4642, 2020
PPIevo: Protein–protein interaction prediction from PSSM based evolutionary information
J Zahiri, O Yaghoubi, M Mohammad-Noori, R Ebrahimpour, ...
Genomics 102 (4), 237-242, 2013
Transfer of rye chromosome segments to wheat by a gametocidal system
A Masoudi-Nejad, S Nasuda, RA McIntosh, TR Endo, TR Endo
Chromosome Research 10, 349-357, 2002
A hybrid gene selection algorithm for microarray cancer classification using genetic algorithm and learning automata
H Motieghader, A Najafi, B Sadeghi, A Masoudi-Nejad
Informatics in Medicine Unlocked 9, 246-254, 2017
Alterations in cancer cell metabolism: the Warburg effect and metabolic adaptation
Y Asgari, Z Zabihinpour, A Salehzadeh-Yazdi, F Schreiber, ...
Genomics 105 (5-6), 275-281, 2015
FeatureSelect: a software for feature selection based on machine learning approaches
Y Masoudi-Sobhanzadeh, H Motieghader, A Masoudi-Nejad
BMC bioinformatics 20, 1-17, 2019
Drug–target interaction prediction via chemogenomic space: learning-based methods
Z Mousavian, A Masoudi-Nejad
Expert opinion on drug metabolism & toxicology 10 (9), 1273-1287, 2014
Drug databases and their contributions to drug repurposing
Y Masoudi-Sobhanzadeh, Y Omidi, M Amanlou, A Masoudi-Nejad
Genomics 112 (2), 1087-1095, 2020
Building blocks of biological networks: a review on major network motif discovery algorithms
A Masoudi-Nejad, F Schreiber, ZRM Kashani
IET systems biology 6 (5), 164-174, 2012
Drug–target interaction prediction from PSSM based evolutionary information
Z Mousavian, S Khakabimamaghani, K Kavousi, A Masoudi-Nejad
Journal of pharmacological and toxicological methods 78, 42-51, 2016
Drug-target and disease networks: polypharmacology in the post-genomic era
A Masoudi-Nejad, Z Mousavian, JH Bozorgmehr
In silico pharmacology 1, 1-4, 2013
Deep learning in drug target interaction prediction: current and future perspectives
K Abbasi, P Razzaghi, A Poso, S Ghanbari-Ara, A Masoudi-Nejad
Current Medicinal Chemistry 28 (11), 2100-2113, 2021
Controllability in cancer metabolic networks according to drug targets as driver nodes
Y Asgari, A Salehzadeh-Yazdi, F Schreiber, A Masoudi-Nejad
PloS one 8 (11), e79397, 2013
A multimodal deep learning-based drug repurposing approach for treatment of COVID-19
SA Hooshmand, M Zarei Ghobadi, SE Hooshmand, ...
Molecular diversity 25, 1717-1730, 2021
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