The automatic recognition of gene names and their corresponding database identifiers in
biomedical text is an important first step for many downstream text-mining applications …

Many biomedical entity mentions contain other entity mentions nested inside. Most current
named entity recognition (NER) systems deal with only flat entities and ignore such nested …

Open information extraction is an important task in Biomedical domain. The goal of the
OpenIE is to automatically extract structured information from unstructured text with no or …

Purpose Protein phosphorylation plays a key role in tumorigenesis and progression.
However, little is known about the phosphoproteome profiles of growth hormone-secreting …

Abstract CDCA7 (Cell Division Cycle Associated Protein 7) is a transcription factor protein
that binds to DNA and histone modifying enzymes supporting DNA methylation and …

Abstract Human genome contains ca. 20,000 protein-coding genes that could be translated
into millions of unique protein species (proteoforms). Proteoforms coded by a. single gene …

Для человека известно около 20 000 белок-кодирующих генов, которые могут быть
транслированы в миллионы уникальных видов белков (протеоформ). Протеоформы …

Objective To predict and analyze the structure and function of heat shock protein 33 by
bioinformatics analysis. Methods The physical and chemical properties, hydrophilicity …

In the modern health care research, protein phosphorylation has gained an enormous
attention from the researchers across the globe and requires automated approaches to …

Text mining is promising for advancing human knowledge in many fields, given the rapidly
growing volume of text data (eg, news reports, scientific articles, and medical notes) we are …