نتایج جستجو برای: hypothetical protein

تعداد نتایج: 1250944  

2002
ANTONIO PINEDA-LUCENA JACK C.C. LIAO JOHN R. CORT ADELINDA YEE MICHAEL A. KENNEDY ALED. M. EDWARDS CHERYL H. ARROWSMITH

As part of the Northeast Structural Genomics Consortium pilot project focused on small eukaryotic proteins and protein domains, we have determined the NMR structure of the protein encoded by ORF YML108W from Saccharomyces cerevisiae. YML108W belongs to one of the numerous structural proteomics targets whose biological function is unknown. Moreover, this protein does not have sequence similarity...

2017
Divakar Sharma Deepa Bisht

Tuberculosis is caused by Mycobacterium tuberculosis, one of the most successful and deadliest human pathogen. Aminoglycosides resistance leads to emergence of extremely drug resistant strains of M. tuberculosis. Iron is crucial for the biological functions of the cells. Iron assimilation, storage and their utilization is not only involved in pathogenesis but also in emergence of drug resistanc...

2011
Singh Jitendra Ranjana Narula Shefali Agnihotri Maneet Singh

UNLABELLED A hypothetical protein is predicted to be expressed from an open reading frame without known experimental evidence of translation. They constitute a substantial fraction of proteomes. Domain extraction from these hypothetical sequences helps to search for protein coding genes for protein structural and functional annotation. We describe the analysis of prediction data in a sequence d...

2008
Gabriele Mayr Günter Lepperdinger Peter Lackner

Primary protein sequence data are archived in databases together with information regarding corresponding biological functions. In this respect, UniProt/Swiss-Prot is currently the most comprehensive collection and it is routinely cross-examined when trying to unravel the biological role of hypothetical proteins. Bioscientists frequently extract single entries and further evaluate those on a su...

Journal: :Chemistry & biology 2013
Charles Ansong Corrie Ortega Samuel H Payne Daniel H Haft Lacie M Chauvignè-Hines Michael P Lewis Anja R Ollodart Samuel O Purvine Anil K Shukla Suereta Fortuin Richard D Smith Joshua N Adkins Christoph Grundner Aaron T Wright

Computational prediction of protein function is frequently error-prone and incomplete. In Mycobacterium tuberculosis (Mtb), ~25% of all genes have no predicted function and are annotated as hypothetical proteins, severely limiting our understanding of Mtb pathogenicity. Here, we utilize a high-throughput quantitative activity-based protein profiling (ABPP) platform to probe, annotate, and valid...

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