In this issue of Acta Crystallographica F, Structural Biology Communications, Firth et al. (2019) present a text-mining tool for automatic protein-residue annotation in published papers. The tool, called pyresid, searches the text of an article for references to amino acids, then identifies the relevant protein and links that amino acid reference in the text to the residue in the associated PDB or mmcif file(s). In doing so, it enables the reader, at the touch of a button, to jump to the relevant part of the 3D structure
The structural annotation of proteins with no detectable homologs of known 3D structure identified u...
its functionality. Despite the large diversity in protein structures and functionality, it is amino ...
Abstract Background Structural modeling of protein-protein interactions produces a large number of p...
Raghava* Background: In the era of next-generation sequencing where thousands of genomes have been a...
Abstract. A large amount of biological knowledge today is only avail-able from full-text research pa...
<p>Text mining for residue mentions is performed on the abstracts from the primary references cited ...
BACKGROUND: We propose a method for automatic extraction of protein-specific residue mentions from t...
Background: A protein annotation database, such as the Universal Protein Resource (UniProtKB), is a ...
Today, molecular biology databases are the cornerstone of knowledge sharing for life and health scie...
Abstract Background A protein annotation database, such as the Universal Protein Resource knowledge ...
This chapter introduces the use of Text Mining in scientific literature for biological research, wit...
We present an approach that integrates protein structure analysis and text mining for protein functi...
We present an approach that integrates protein structure analysis and text mining for protein functi...
The electronic version of this article is the complete one and can be found online at http://genome...
Large-scale genome sequencing has identified millions of protein-coding genes whose function is unkn...
The structural annotation of proteins with no detectable homologs of known 3D structure identified u...
its functionality. Despite the large diversity in protein structures and functionality, it is amino ...
Abstract Background Structural modeling of protein-protein interactions produces a large number of p...
Raghava* Background: In the era of next-generation sequencing where thousands of genomes have been a...
Abstract. A large amount of biological knowledge today is only avail-able from full-text research pa...
<p>Text mining for residue mentions is performed on the abstracts from the primary references cited ...
BACKGROUND: We propose a method for automatic extraction of protein-specific residue mentions from t...
Background: A protein annotation database, such as the Universal Protein Resource (UniProtKB), is a ...
Today, molecular biology databases are the cornerstone of knowledge sharing for life and health scie...
Abstract Background A protein annotation database, such as the Universal Protein Resource knowledge ...
This chapter introduces the use of Text Mining in scientific literature for biological research, wit...
We present an approach that integrates protein structure analysis and text mining for protein functi...
We present an approach that integrates protein structure analysis and text mining for protein functi...
The electronic version of this article is the complete one and can be found online at http://genome...
Large-scale genome sequencing has identified millions of protein-coding genes whose function is unkn...
The structural annotation of proteins with no detectable homologs of known 3D structure identified u...
its functionality. Despite the large diversity in protein structures and functionality, it is amino ...
Abstract Background Structural modeling of protein-protein interactions produces a large number of p...