A comprehensive review and comparison of different computational methods for protein remote homology detection

J Chen, M Guo, X Wang, B Liu - Briefings in bioinformatics, 2018 - academic.oup.com
Protein remote homology detection is one of the most fundamental and central problems for
the studies of protein structures and functions, aiming to detect the distantly evolutionary …

Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection

B Liu, D Zhang, R Xu, J Xu, X Wang, Q Chen… - …, 2014 - academic.oup.com
Motivation: Owing to its importance in both basic research (such as molecular evolution and
protein attribute prediction) and practical application (such as timely modeling the 3D …

A review of protein function prediction under machine learning perspective

J S. Bernardes - Recent patents on biotechnology, 2013 - benthamdirect.com
Protein function prediction is one of the most challenging problems in the post-genomic era.
The number of newly identified proteins has been exponentially increasing with the …

DeepFam: deep learning based alignment-free method for protein family modeling and prediction

S Seo, M Oh, Y Park, S Kim - Bioinformatics, 2018 - academic.oup.com
Motivation A large number of newly sequenced proteins are generated by the next-
generation sequencing technologies and the biochemical function assignment of the …

PseDNA‐Pro: DNA‐binding protein identification by combining Chou's PseAAC and physicochemical distance transformation

B Liu, J Xu, S Fan, R Xu, J Zhou… - Molecular …, 2015 - Wiley Online Library
Identification of DNA‐binding proteins is an important problem in biomedical research as
DNA‐binding proteins are crucial for various cellular processes. Currently, the machine …

Protein folds prediction with hierarchical structured SVM

D Li, Y Ju, Q Zou - Current Proteomics, 2016 - ingentaconnect.com
Protein folds prediction is an essential and basic problem for protein structure and function
research. As far as we see, there are generally three problems for the protein folds …

Fast alignment-free sequence comparison using spaced-word frequencies

CA Leimeister, M Boden, S Horwege, S Lindner… - …, 2014 - academic.oup.com
Motivation: Alignment-free methods for sequence comparison are increasingly used for
genome analysis and phylogeny reconstruction; they circumvent various difficulties of …

Fast model-based protein homology detection without alignment

S Hochreiter, M Heusel, K Obermayer - Bioinformatics, 2007 - academic.oup.com
Motivation: As more genomes are sequenced, the demand for fast gene classification
techniques is increasing. To analyze a newly sequenced genome, first the genes are …

Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection

T Damoulas, MA Girolami - Bioinformatics, 2008 - academic.oup.com
Motivation: The problems of protein fold recognition and remote homology detection have
recently attracted a great deal of interest as they represent challenging multi-feature multi …

kmacs: the k -mismatch average common substring approach to alignment-free sequence comparison

CA Leimeister, B Morgenstern - Bioinformatics, 2014 - academic.oup.com
Motivation: Alignment-based methods for sequence analysis have various limitations if large
datasets are to be analysed. Therefore, alignment-free approaches have become popular in …