Pcons.net: protein structure prediction meta server
作者： B. Wallner , P. Larsson , A. Elofsson
DOI: 10.1093/NAR/GKM319
关键词: Bioinformatics 、 Automation 、 Biology 、 Sequence 、 Domain (software engineering) 、 Correctness 、 Protein structure prediction 、 Server 、 Protein sequencing 、 Software 、 Data mining
摘要: The Pcons.net Meta Server (http://pcons.net) provides improved automated tools for protein structure prediction and analysis using consensus. It essentially implements all the steps necessary to produce a high quality model of protein. whole process is fully potential user only submits sequence. For PSI-BLAST detectable targets, an accurate generated within minutes submission. more difficult targets sequence automatically submitted publicly available fold-recognition servers that use advanced approaches find distant structural homologs. results from these are analyzed assessed correctness Pcons ProQ; presented with ranked list possible models. In addition, if contains than one domain, parsed out resubmitted server as individual queries.
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