A comprehensive review and comparison of different computational methods for protein remote homology detection
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 …
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
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 …
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 …
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
Motivation A large number of newly sequenced proteins are generated by the next-
generation sequencing technologies and the biochemical function assignment of the …
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
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 …
DNA‐binding proteins are crucial for various cellular processes. Currently, the machine …
Protein folds prediction with hierarchical structured SVM
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 …
research. As far as we see, there are generally three problems for the protein folds …
Fast alignment-free sequence comparison using spaced-word frequencies
Motivation: Alignment-free methods for sequence comparison are increasingly used for
genome analysis and phylogeny reconstruction; they circumvent various difficulties of …
genome analysis and phylogeny reconstruction; they circumvent various difficulties of …
Fast model-based protein homology detection without alignment
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 …
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 …
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 …
datasets are to be analysed. Therefore, alignment-free approaches have become popular in …