2019
DOI: 10.1016/j.jmb.2019.01.047
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PconsFam: An Interactive Database of Structure Predictions of Pfam Families

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Cited by 18 publications
(28 citation statements)
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“…Annotation information on the obtained nonredundant transcript sequences was based on BLAST in the following databases [66]: NR; Pfam [66]; KOG [67]; COG; swiss-Prot [68]; KEGG [69]; and GO [70].…”
Section: Functional Annotationmentioning
confidence: 99%
“…Annotation information on the obtained nonredundant transcript sequences was based on BLAST in the following databases [66]: NR; Pfam [66]; KOG [67]; COG; swiss-Prot [68]; KEGG [69]; and GO [70].…”
Section: Functional Annotationmentioning
confidence: 99%
“…We investigated the transcript expression levels in the five tissues, and T1 had the highest number of expressed genes (76,124), followed by T4 (75.978), T2 (75,885), T3 (74,396) and T2 (74,327) (Additional file 4: Figure S3a). The number of genes co-expressed in each tissue was 68,241.…”
Section: Expression Of Specific Genes and Statistics Ofdifferentiallymentioning
confidence: 99%
“…Four computational approaches include CPC [72]/CNCI/CPAT [73]/Pfam [74] were combined to sort nonprotein-coding RNA candidates from putative protein-coding RNAs among the transcripts. Putative protein-coding RNAs were filtered using a minimum length and exon number threshold.…”
Section: Detection Of Ssr Orfs As and Lncrnamentioning
confidence: 99%
See 1 more Smart Citation
“…With the rapid development of contact-assisted ab initio modelling methods, several groups have given thought to producing structure predictions to cover protein sequence space, using Pfam (El-Gebali et al, 2018) as a convenient definition of protein families. Prominent among these are the GREMLIN database (Ovchinnikov et al, 2017), which contains representatives of 614 Pfam families resulting from sophisticated iterative modelling with Rosetta, and the PconsFam database (Lamb et al, 2019), which covers a much larger number of protein families, 13 617, but with more rapidly obtained models. Since these models represent Pfam families, often with thousands of members, they provide a degree of structural information for many proteins: for example, the GREMLIN authors calculate that their models with predicted TM-scores of >0.65 (where a TM-score of >0.5 is taken as a correct fold prediction; Zhang & Skolnick, 2004a;Xu & Zhang, 2010) cover almost half a million sequences in UniRef100 (Suzek et al, 2007).…”
Section: Introductionmentioning
confidence: 99%