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
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 …
Performance of mutation pathogenicity prediction methods on missense variants
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
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 …
HybridDBRpred: improved sequence-based prediction of DNA-binding amino acids using annotations from structured complexes and disordered proteins
Current predictors of DNA-binding residues (DBRs) from protein sequences belong to two
distinct groups, those trained on binding annotations extracted from structured protein-DNA …
distinct groups, those trained on binding annotations extracted from structured protein-DNA …
RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach
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 …
iDNA-Prot: identification of DNA binding proteins using random forest with grey model
WZ Lin, JA Fang, X ** 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
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 …
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network
To improve the prediction of DNA-binding Proteins (DBPs), this paper presents a deep
learning-based method, named DBP-CNN. To efficiently extract the important features, we …
learning-based method, named DBP-CNN. To efficiently extract the important features, we …