Electrostatic interactions in protein structure, folding, binding, and condensation
Charged and polar groups, through forming ion pairs, hydrogen bonds, and other less
specific electrostatic interactions, impart important properties to proteins. Modulation of the …
specific electrostatic interactions, impart important properties to proteins. Modulation of the …
[HTML][HTML] Exploring the computational methods for protein-ligand binding site prediction
J Zhao, Y Cao, L Zhang - Computational and structural biotechnology …, 2020 - Elsevier
Proteins participate in various essential processes in vivo via interactions with other
molecules. Identifying the residues participating in these interactions not only provides …
molecules. Identifying the residues participating in these interactions not only provides …
Automated inference of molecular mechanisms of disease from amino acid substitutions
Motivation: Advances in high-throughput genotyping and next generation sequencing have
generated a vast amount of human genetic variation data. Single nucleotide substitutions …
generated a vast amount of human genetic variation data. Single nucleotide substitutions …
Performance of mutation pathogenicity prediction methods on missense variants
J Thusberg, A Olatubosun, M Vihinen - Human mutation, 2011 - Wiley Online Library
Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation in
humans. The number of SNPs identified in the human genome is growing rapidly, but …
humans. The number of SNPs identified in the human genome is growing rapidly, but …
[PDF][PDF] DRNApred, fast sequence-based method that accurately predicts and discriminates DNA-and RNA-binding residues
J Yan, L Kurgan - Nucleic acids research, 2017 - academic.oup.com
Protein-DNA and protein-RNA interactions are part of many diverse and essential cellular
functions and yet most of them remain to be discovered and characterized. Recent research …
functions and yet most of them remain to be discovered and characterized. Recent research …
Protein–RNA interaction prediction with deep learning: structure matters
Protein–RNA interactions are of vital importance to a variety of cellular activities. Both
experimental and computational techniques have been developed to study the interactions …
experimental and computational techniques have been developed to study the interactions …
minibioreactors
The performance of currently available minibioreactors with volumes below about 100 ml is
reviewed. Bioreactors are characterized by their area of application, by mass transfer and …
reviewed. Bioreactors are characterized by their area of application, by mass transfer and …
[HTML][HTML] RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach
X Pan, HB Shen - BMC bioinformatics, 2017 - Springer
Background RNAs play key roles in cells through the interactions with proteins known as the
RNA-binding proteins (RBP) and their binding motifs enable crucial understanding of the …
RNA-binding proteins (RBP) and their binding motifs enable crucial understanding of the …
[HTML][HTML] iDNA-Prot: identification of DNA binding proteins using random forest with grey model
DNA-binding proteins play crucial roles in various cellular processes. Developing high
throughput tools for rapidly and effectively identifying DNA-binding proteins is one of the …
throughput tools for rapidly and effectively identifying DNA-binding proteins is one of the …
BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences
L Wang, SJ Brown - Nucleic acids research, 2006 - academic.oup.com
Abstract BindN (http://bioinformatics. ksu. edu/bindn/) takes an amino acid sequence as
input and predicts potential DNA or RNA-binding residues with support vector machines …
input and predicts potential DNA or RNA-binding residues with support vector machines …