Alignment-Free Method to Predict Enzyme Classes and Subclasses

PTML Model of Enzyme Subclasses for Mining the Proteome of Bio-fuel Producing Microorganisms

(2019) Riccardo Concu et al.   JOURNAL OF PROTEOME RESEARCH

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

(2018) Afshine Amidi et al.   PeerJ

ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature

(2018) Alperen Dalkiran et al.   BMC BIOINFORMATICS

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis

(2017) Hua Wang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features

(2017) Adrian Ion-Mărgineanu et al.   Frontiers in Neuroscience

Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

(2017) Sabri Boughorbel et al.   PLoS One

General sparse multi-class linear discriminant analysis

(2016) Sandra E. Safo et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Identification of Multi-Functional Enzyme with Multi-Label Classifier

(2016) Yuxin Che et al.   PLoS One

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models

(2015) Carlos Fernandez-Lozano et al.   JOURNAL OF THEORETICAL BIOLOGY

NCBI BLAST+ integrated into Galaxy

(2015) Peter J. A. Cock et al.   GigaScience

Trends in information theory-based chemical structure codification

(2014) Stephen J. Barigye et al.   MOLECULAR DIVERSITY

Prediction of Detailed Enzyme Functions and Identification of Specificity Determining Residues by Random Forests

(2014) Chioko Nagao et al.   PLoS One

S2SNet: A Tool for Transforming Characters and Numeric Sequences into Star Network Topological Indices in Chemoinformatics, Bioinformatics, Biomedical, and Social-Legal Sciences

(2013) Cristian Munteanu et al.   Current Bioinformatics

QSAR Modeling: Where Have You Been? Where Are You Going To?

(2013) Artem Cherkasov et al.   JOURNAL OF MEDICINAL CHEMISTRY

ECOH: An Enzyme Commission number predictor using mutual information and a support vector machine

(2012) Yoshihiko Matsuta et al.   BIOINFORMATICS

ANN multiplexing model of drugs effect on macrophages; theoretical and flow cytometry study on the cytotoxicity of the anti-microbial drug G1 in spleen

(2012) Esvieta Tenorio-Borroto et al.   BIOORGANIC & MEDICINAL CHEMISTRY

Random Forest classification based on star graph topological indices for antioxidant proteins

(2012) Enrique Fernández-Blanco et al.   JOURNAL OF THEORETICAL BIOLOGY

Assignment of EC Numbers to Enzymatic Reactions with Reaction Difference Fingerprints

(2012) Qian-Nan Hu et al.   PLoS One

Prediction of Enzyme Subfamily Class via Pseudo Amino Acid Composition by Incorporating the Conjoint Triad Feature

(2012) Yong-Cui Wang et al.   PROTEIN AND PEPTIDE LETTERS

EnzymeDetector: an integrated enzyme function prediction tool and database

(2011) Susanne Quester et al.   BMC BIOINFORMATICS

Machine learning study for the prediction of transdermal peptide

(2011) Eunkyoung Jung et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

New Markov–Shannon Entropy models to assess connectivity quality in complex networks: From molecular to cellular pathway, Parasite–Host, Neural, Industry, and Legal–Social networks

(2011) Pablo Riera-Fernández et al.   JOURNAL OF THEORETICAL BIOLOGY

Artificial Neural Networks and the Study of the Psychoactivity of Cannabinoid Compounds

(2010) Káthia M. Honório et al.   Chemical Biology & Drug Design

Ongoing and future developments at the Universal Protein Resource

(2010)   NUCLEIC ACIDS RESEARCH

3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites

(2009) R. Concu et al.   BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS

Star Graphs of Protein Sequences and Proteome Mass Spectra in Cancer Prediction

(2009) Jose Vazquez et al.   Current Proteomics

Prediction of Enzyme Classes from 3D Structure: A General Model and Examples of Experimental-Theoretic Scoring of Peptide Mass Fingerprints ofLeishmaniaProteins

(2009) Riccardo Concu et al.   JOURNAL OF PROTEOME RESEARCH

Assessing and improving the stability of chemometric models in small sample size situations

(2008) Claudia Beleites et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

A Radial Basis Function Neural Network (RBFNN) Approach for Structural Classification of Thyroid Diseases

(2008) Rızvan Erol et al.   JOURNAL OF MEDICAL SYSTEMS

Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices

(2008) Cristian Robert Munteanu et al.   JOURNAL OF THEORETICAL BIOLOGY