Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Hamid Pezeshk"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-21 (2020)
Abstract Background Predicting physical interaction between proteins is one of the greatest challenges in computational biology. There are considerable various protein interactions and a huge number of protein sequences and synthetic peptides with un
Externí odkaz:
https://doaj.org/article/9472cd4c92fc41d09deac6c72327893a
Autor:
Ali Sharifi-Zarchi, Daniela Gerovska, Kenjiro Adachi, Mehdi Totonchi, Hamid Pezeshk, Ryan J. Taft, Hans R. Schöler, Hamidreza Chitsaz, Mehdi Sadeghi, Hossein Baharvand, Marcos J. Araúzo-Bravo
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-21 (2017)
Abstract Background DNA methylation at promoters is largely correlated with inhibition of gene expression. However, the role of DNA methylation at enhancers is not fully understood, although a crosstalk with chromatin marks is expected. Actually, the
Externí odkaz:
https://doaj.org/article/7973041d2396419ea4f9b373a5a029e2
Publikováno v:
Cell Journal, Vol 19, Iss 3, Pp 343-351 (2017)
Objective: Cellular decision-making is a key process in which cells with similar genetic and environmental background make dissimilar decisions. This stochastic process, which happens in prokaryotic and eukaryotic cells including stem cells, causes
Externí odkaz:
https://doaj.org/article/9ec03ad7ce2f4fce8b471e1c38282635
Publikováno v:
Research in Molecular Medicine, Vol 3, Iss 1, Pp 16-21 (2015)
Gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. Familial hypercholest
Externí odkaz:
https://doaj.org/article/c50f6bb1cb5748e885bd939a9eb87fa7
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0184795 (2017)
The Common topological features of related species gene regulatory networks suggest reconstruction of the network of one species by using the further information from gene expressions profile of related species. We present an algorithm to reconstruct
Externí odkaz:
https://doaj.org/article/772066063acc4a99b2898cfe885723f8
Publikováno v:
Advances and Applications in Bioinformatics and Chemistry, Vol 2010, Iss default, Pp 89-96 (2010)
Mehdi Sadeghi1,2, Hamid Pezeshk4, Changiz Eslahchi3,5, Sara Ahmadian6, Sepideh Mah Abadi61National Institute of Genetic Engineering and Biotechnology, Tehran, Iran; 2School of Computer Science, 3School of Mathematics, Institute for Research in Fundam
Externí odkaz:
https://doaj.org/article/5ae31010c5cc4384ab65e91ae04f70db
Autor:
Faezeh Dorri, Hamid Mahini, Ali Sharifi-Zarchi, Mehdi Totonchi, Ruzbeh Tusserkani, Hamid Pezeshk, Mehdi Sadeghi
Publikováno v:
PLoS ONE, Vol 9, Iss 8, p e103569 (2014)
Decision making at a cellular level determines different fates for isogenic cells. However, it is not yet clear how rational decisions are encoded in the genome, how they are transmitted to their offspring, and whether they evolve and become optimize
Externí odkaz:
https://doaj.org/article/6ca1ff0e973647d88e94eb0701faebf9
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e80565 (2013)
The profile hidden Markov model (PHMM) is widely used to assign the protein sequences to their respective families. A major limitation of a PHMM is the assumption that given states the observations (amino acids) are independent. To overcome this limi
Externí odkaz:
https://doaj.org/article/d05b0dd8a79d4b6fa6ba044deed75192
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-21 (2020)
BMC Bioinformatics
BMC Bioinformatics
BackgroundPredicting physical interaction between proteins is one of the greatest challenges in computational biology. There are considerable various protein interactions and a huge number of protein sequences and synthetic peptides with unknown inte
Autor:
Fahimeh Salasar Moghaddam, Mehrdad Pedram, Mohammad Vafaee-Shahi, Yasin Panahi, Hamid Pezeshk, Khadijeh Babaei, Reza Shervin Badv, M.R. Eskandari, Mohammad Eftekhar
Publikováno v:
Journal of autism and developmental disorders.
Autism spectrum disorders (ASD) are lifelong heterogeneous set of neurodevelopmental conditions with strikingly profound male prevalence. Differences in sex biology and hormones are thought to play key roles in ASD prevalence and outcome, but the und