2007
DOI: 10.1002/0471250953.bi0109s20
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Using the Tools and Resources of the RCSB Protein Data Bank

Abstract: The Protein Data Bank (PDB; http://www.pdb.org) is the worldwide repository for threedimensional structural data determined using various experimental methods. The options and procedures for searching and downloading structural data from the Research Collaboratory for Structural Bioinformatics (RCSB) PDB are described here, along with tools for assessing the quality of structures. Several types of information are associated with each structure deposition, including atomic coordinates of the structure, experime… Show more

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Cited by 15 publications
(10 citation statements)
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“…Since the order of the encoded proteins and the sequence similarity of the reverse transcriptase form the base for LTR retrotransposon classification, repetitive elements were screened for retrotransposon-related protein domains. Each putative LTR retrotransposon was translated in 6 frames with transeq from the EMBOSS package [49] and searched with HMMsearch (from HMMer3.0 package [50] ) against 13 HMM (Hidden Markov Model) profiles corresponding to 8 different protein domains (INT, RT, AP, RNase H, Gag, Chromo, and two RT-related: RVT_thumb and RVT_connect) included in the Pfam25 database [51] and one developed specially for this project: the Pfam RNase H profile does not include retrotransposon RNase H sequences which are known to vary from canonical RNase H sequences [34] , so we made our own RNase H profile, using known fungal retrotransposon RNase H sequences together with two PDB [52] non-fungal structures for alignment guiding purposes. Sequence searches were automated with pfam_scan.pl, a tool available at the Pfam database site [51] , which enables the user to create a database of HMM profiles to be searched with a database of protein sequences.…”
Section: Methodsmentioning
confidence: 99%
“…Since the order of the encoded proteins and the sequence similarity of the reverse transcriptase form the base for LTR retrotransposon classification, repetitive elements were screened for retrotransposon-related protein domains. Each putative LTR retrotransposon was translated in 6 frames with transeq from the EMBOSS package [49] and searched with HMMsearch (from HMMer3.0 package [50] ) against 13 HMM (Hidden Markov Model) profiles corresponding to 8 different protein domains (INT, RT, AP, RNase H, Gag, Chromo, and two RT-related: RVT_thumb and RVT_connect) included in the Pfam25 database [51] and one developed specially for this project: the Pfam RNase H profile does not include retrotransposon RNase H sequences which are known to vary from canonical RNase H sequences [34] , so we made our own RNase H profile, using known fungal retrotransposon RNase H sequences together with two PDB [52] non-fungal structures for alignment guiding purposes. Sequence searches were automated with pfam_scan.pl, a tool available at the Pfam database site [51] , which enables the user to create a database of HMM profiles to be searched with a database of protein sequences.…”
Section: Methodsmentioning
confidence: 99%
“…BARD1 gene SNPs and their protein sequences in the FASTA format were retrieved from the dbSNP database [15] , [45] ( http://www.ncbi.nlm.nih.gov/SNP/ ), and ā€œ.pdbā€ files for BARD1 subunits were retrieved from the RCSB Protein Data Base [46] ( http://www.rcsb.org/pdb/home/home.do ) for computational analysis in this study.…”
Section: Methodsmentioning
confidence: 99%
“…This homology-based modeling study with I-TASSER involves 3 steps: template identification from PDB library, assembly of iterative structures, and structure-based function annotation. I-TASSER identifies the homologous structure models from PDB database (Dutta et al, 2007) using an algorithm Local Meta-Threading-Server (LOMETS; Wu and Zhang, 2007). The secondary structure of the target protein was predicted based on sequence information from the Protein Secondary Structure PREDiction (PSSpred) algorithm (Yang, Yan, Roy, Xu, Poisson & Zhang, 2015).…”
Section: Myoglobin Modelingmentioning
confidence: 99%