[HTML][HTML] Recent advances in develo** web-servers for predicting protein attributes
KC Chou, HB Shen - Natural science, 2009 - scirp.org
Recent advance in large-scale genome se-quencing has generated a huge volume of pro-
tein sequences. In order to timely utilize the in-formation hidden in these newly discovered …
tein sequences. In order to timely utilize the in-formation hidden in these newly discovered …
Predicting protein function from sequence and structural data
When a protein's function cannot be experimentally determined, it can often be inferred from
sequence similarity. Should this process fail, analysis of the protein structure can provide …
sequence similarity. Should this process fail, analysis of the protein structure can provide …
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
Structural and physiochemical descriptors extracted from sequence data have been widely
used to represent sequences and predict structural, functional, expression and interaction …
used to represent sequences and predict structural, functional, expression and interaction …
[PDF][PDF] Protein function prediction via graph kernels
Motivation: Computational approaches to protein function prediction infer protein function by
finding proteins with similar sequence, structure, surface clefts, chemical properties, amino …
finding proteins with similar sequence, structure, surface clefts, chemical properties, amino …
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Sequence-based analysis and prediction are fundamental bioinformatic tasks that facilitate
understanding of the sequence (-structure)-function paradigm for DNAs, RNAs and proteins …
understanding of the sequence (-structure)-function paradigm for DNAs, RNAs and proteins …
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
With the explosive growth of biological sequences generated in the post-genomic era, one
of the most challenging problems in bioinformatics and computational biology is to …
of the most challenging problems in bioinformatics and computational biology is to …
DEEPre: sequence-based enzyme EC number prediction by deep learning
Motivation Annotation of enzyme function has a broad range of applications, such as
metagenomics, industrial biotechnology, and diagnosis of enzyme deficiency-caused …
metagenomics, industrial biotechnology, and diagnosis of enzyme deficiency-caused …
PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence
Sequence-derived structural and physicochemical features have frequently been used in the
development of statistical learning models for predicting proteins and peptides of different …
development of statistical learning models for predicting proteins and peptides of different …
Classification of nuclear receptors based on amino acid composition and dipeptide composition
Nuclear receptors are key transcription factors that regulate crucial gene networks
responsible for cell growth, differentiation, and homeostasis. Nuclear receptors form a …
responsible for cell growth, differentiation, and homeostasis. Nuclear receptors form a …
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier
J Lin, H Chen, S Li, Y Liu, X Li, B Yu - Artificial intelligence in medicine, 2019 - Elsevier
Discovering and accurately locating drug targets is of great significance for the research and
development of new drugs. As a different approach to traditional drug development, the …
development of new drugs. As a different approach to traditional drug development, the …