A comprehensive comparative review of sequence-based predictors of DNA-and RNA-binding residues
J Yan, S Friedrich, L Kurgan - Briefings in bioinformatics, 2016 - academic.oup.com
Motivated by the pressing need to characterize protein–DNA and protein–RNA interactions
on large scale, we review a comprehensive set of 30 computational methods for high …
on large scale, we review a comprehensive set of 30 computational methods for high …
An overview of the prediction of protein DNA-binding sites
J Si, R Zhao, R Wu - International journal of molecular sciences, 2015 - mdpi.com
Interactions between proteins and DNA play an important role in many essential biological
processes such as DNA replication, transcription, splicing, and repair. The identification of …
processes such as DNA replication, transcription, splicing, and repair. The identification of …
TFClass: an expandable hierarchical classification of human transcription factors
E Wingender, T Schoeps, J Dönitz - Nucleic acids research, 2013 - academic.oup.com
Abstract TFClass (http://tfclass. bioinf. med. uni-goettingen. de/) provides a comprehensive
classification of human transcription factors based on their DNA-binding domains …
classification of human transcription factors based on their DNA-binding domains …
NCBRPred: predicting nucleic acid binding residues in proteins based on multilabel learning
The interactions between proteins and nucleic acid sequences play many important roles in
gene expression and some cellular activities. Accurate prediction of the nucleic acid binding …
gene expression and some cellular activities. Accurate prediction of the nucleic acid binding …
Improving the prediction of protein–nucleic acids binding residues via multiple sequence profiles and the consensus of complementary methods
Motivation The interactions between protein and nucleic acids play a key role in various
biological processes. Accurate recognition of the residues that bind nucleic acids can …
biological processes. Accurate recognition of the residues that bind nucleic acids can …
Predicting protein-DNA binding residues by weightedly combining sequence-based features and boosting multiple SVMs
Protein-DNA interactions are ubiquitous in a wide variety of biological processes. Correctly
locating DNA-binding residues solely from protein sequences is an important but …
locating DNA-binding residues solely from protein sequences is an important but …
DNAPred: accurate identification of DNA-binding sites from protein sequence by ensembled hyperplane-distance-based support vector machines
Accurate identification of protein–DNA binding sites is significant for both understanding
protein function and drug design. Machine-learning-based methods have been extensively …
protein function and drug design. Machine-learning-based methods have been extensively …
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 …
A large-scale assessment of nucleic acids binding site prediction programs
Computational prediction of nucleic acid binding sites in proteins are necessary to
disentangle functional mechanisms in most biological processes and to explore the binding …
disentangle functional mechanisms in most biological processes and to explore the binding …
iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks
Background Since protein-DNA interactions are highly essential to diverse biological events,
accurately positioning the location of the DNA-binding residues is necessary. This biological …
accurately positioning the location of the DNA-binding residues is necessary. This biological …