Homology Modeling of P-glycoprotein for Detecting Remote Protein Homologies
نویسندگان
چکیده
منابع مشابه
Hidden Markov models for detecting remote protein homologies
MOTIVATION A new hidden Markov model method (SAM-T98) for finding remote homologs of protein sequences is described and evaluated. The method begins with a single target sequence and iteratively builds a hidden Markov model (HMM) from the sequence and homologs found using the HMM for database search. SAM-T98 is also used to construct model libraries automatically from sequences in structural da...
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A new method for detecting remote protein homologies is introduced and shown to perform well in classifying protein domains by SCOP superfamily. The method is a variant of support vector machines using a new kernel function. The kernel function is derived from a generative statistical model for a protein family, in this case a hidden Markov model. This general approach of combining generative m...
متن کاملHomology modeling and structural analysis of human P-glycoprotein
UNLABELLED Homology modeling and structural analysis of human P-glycoprotein (hP-gp) were performed with a software package the Molecular Operating Environment (MOE). A mouse P-gp (mP-gp; PDB code: 3G5U) was selected as a template for the 3D structure modeling of hP-gp. The modeled hP-gp showed significant 3D similarities at the drug biding site (DBS) to the mP-gp structure. The contact energy ...
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The most highly conserved regions of proteins can be represented as blocks of aligned sequence segments, typically with multiple blocks for a given protein family. The Blocks Database World Wide Web (http://blocks.fhcrc.org) and e-mail (blocks@blocks. fhcrc.org) servers provide tools to search DNA and protein queries against the Blocks+ Database of multiple alignments. We describe features for ...
متن کاملUsing the Fisher Kernel Method to Detect Remote Protein Homologies
A new method, called the Fisher kernel method, for detecting remote protein homologies is introduced and shown to perform well in classifying protein domains by SCOP superfamily. The method is a variant of support vector machines using a new kernel function. The kernel function is derived from a hidden Markov model. The general approach of combining generative models like HMMs with discriminati...
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ژورنال
عنوان ژورنال: Procedia Engineering
سال: 2012
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2012.06.217