Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Khalique Newaz"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-26 (2021)
Abstract Background This study focuses on the task of supervised prediction of aging-related genes from -omics data. Unlike gene expression methods for this task that capture aging-specific information but ignore interactions between genes (i.e., the
Externí odkaz:
https://doaj.org/article/a4fbac9781194573a4c72316a1b28f48
Publikováno v:
Royal Society Open Science, Vol 7, Iss 6 (2020)
Experimental determination of protein function is resource-consuming. As an alternative, computational prediction of protein function has received attention. In this context, protein structural classification (PSC) can help, by allowing for determini
Externí odkaz:
https://doaj.org/article/66dd788a06d841858dc74dc6458454f1
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0144389 (2015)
Prion diseases are transmissible neurodegenerative diseases that arise due to conformational change of normal, cellular prion protein (PrPC) to protease-resistant isofrom (rPrPSc). Deposition of misfolded PrpSc proteins leads to an alteration of many
Externí odkaz:
https://doaj.org/article/d4f6c937b903459a8ad46fbfd60fd8bc
Publikováno v:
Proteins
Protein structural classification (PSC) is a supervised problem of assigning proteins into pre-defined structural (e.g., CATH or SCOPe) classes based on the proteins' sequence or 3D structural features. We recently proposed PSC approaches that model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6090d40c94dc767943476349af683dec
https://doi.org/10.1002/prot.26349
https://doi.org/10.1002/prot.26349
Motivation Identification of human genes involved in the aging process is critical due to the incidence of many diseases with age. A state-of-the-art approach for this purpose infers a weighted dynamic aging-specific subnetwork by mapping gene expres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffdfd7287e3639753a72e140e4e4a4d8
Autor:
Tijana Milenkovic, Khalique Newaz
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 19(2)
Gene expression (GE) data capture valuable condition-specific information (condition can mean a biological process, disease stage, age, patient, etc.) However, GE analyses ignore physical interactions between gene products, i.e., proteins. Because pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97183ba2641aa9350fb4b09587845c60
https://pubmed.ncbi.nlm.nih.gov/32897864
https://pubmed.ncbi.nlm.nih.gov/32897864
Autor:
Fazle E. Faisal, Scott J. Emrich, Khalique Newaz, Patricia L. Clark, Jun Li, Julie L. Chaney, Tijana Milenkovic
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-5 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-5 (2020)
Initial protein structural comparisons were sequence-based. Since amino acids that are distant in the sequence can be close in the 3-dimensional (3D) structure, 3D contact approaches can complement sequence approaches. Traditional 3D contact approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::532955ba1282bd620bd8556783993adb
http://europepmc.org/articles/PMC7417526
http://europepmc.org/articles/PMC7417526
Autor:
Khalique Newaz, Mahboobeh Ghalehnovi, Rahnama, Arash, Antsaklis, Panos J., Milenković, Tijana
This file contains all of our supplementray text, figures, and tables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::200f79fb22356e1db4ead66295b8baa2
Autor:
Jacob Piland, Jun Li, Gabriel Wright, Scott J. Emrich, Khalique Newaz, Patricia L. Clark, Tijana Milenkovic
Publikováno v:
Bioinformatics
Motivation Most amino acids are encoded by multiple synonymous codons, some of which are used more rarely than others. Analyses of positions of such rare codons in protein sequences revealed that rare codons can impact co-translational protein foldin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4963887ccbd86a5c4bdeb3d8b1905634
http://arxiv.org/abs/1907.03351
http://arxiv.org/abs/1907.03351