Recent progress in machine learning-based methods for protein fold recognition
Knowledge on protein folding has a profound impact on understanding the heterogeneity
and molecular function of proteins, further facilitating drug design. Predicting the 3D …
and molecular function of proteins, further facilitating drug design. Predicting the 3D …
A survey of multiple classifier systems as hybrid systems
A current focus of intense research in pattern classification is the combination of several
classifier systems, which can be built following either the same or different models and/or …
classifier systems, which can be built following either the same or different models and/or …
A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
Discovering a three dimensional structure of a protein is a challenging task in biological
science. Classifying a protein into one of its folds is an intermediate step for deciphering the …
science. Classifying a protein into one of its folds is an intermediate step for deciphering the …
Enhanced protein fold prediction method through a novel feature extraction technique
Information of protein 3-dimensional (3D) structures plays an essential role in molecular
biology, cell biology, biomedicine, and drug design. Protein fold prediction is considered as …
biology, cell biology, biomedicine, and drug design. Protein fold prediction is considered as …
Relevance of machine learning techniques and various protein features in protein fold classification: a review
K Patil, U Chouhan - Current Bioinformatics, 2019 - ingentaconnect.com
Background: Protein fold prediction is a fundamental step in Structural Bioinformatics. The
tertiary structure of a protein determines its function and to predict its tertiary structure, fold …
tertiary structure of a protein determines its function and to predict its tertiary structure, fold …
A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition
In biological sciences, the deciphering of a three dimensional structure of a protein
sequence is considered to be an important and challenging task. The identification of protein …
sequence is considered to be an important and challenging task. The identification of protein …
Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection
O Attallah, A Karthikesalingam… - Proceedings of the …, 2017 - journals.sagepub.com
Feature selection is essential in medical area; however, its process becomes complicated
with the presence of censoring which is the unique character of survival analysis. Most …
with the presence of censoring which is the unique character of survival analysis. Most …
Protein fold recognition based on sparse representation based classification
Abstract Knowledge of protein fold type is critical for determining the protein structure and
function. Because of its importance, several computational methods for fold recognition have …
function. Because of its importance, several computational methods for fold recognition have …
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition
Background Assigning a protein into one of its folds is a transitional step for discovering
three dimensional protein structure, which is a challenging task in bimolecular (biological) …
three dimensional protein structure, which is a challenging task in bimolecular (biological) …
Profold: Protein fold classification with additional structural features and a novel ensemble classifier
D Chen, X Tian, B Zhou, J Gao - BioMed research international, 2016 - Wiley Online Library
Protein fold classification plays an important role in both protein functional analysis and drug
design. The number of proteins in PDB is very large, but only a very small part is categorized …
design. The number of proteins in PDB is very large, but only a very small part is categorized …