Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information

MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description

(2020) Yi Zou et al.   Current Bioinformatics

Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion

(2020) Yijie Ding et al.   KNOWLEDGE-BASED SYSTEMS

DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines

(2019) Yi-Heng Zhu et al.   Journal of Chemical Information and Modeling

Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion

(2019) Hao Wang et al.   NEUROCOMPUTING

Identification of drug-side effect association via multiple information integration with centered kernel alignment

(2018) Yijie Ding et al.   NEUROCOMPUTING

Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning

(2018) Yijie Ding et al.   IEEE Journal of Biomedical and Health Informatics

Identification of drug-target interactions via multiple information integration

(2017) Yijie Ding et al.   INFORMATION SCIENCES

Identification of Protein–Ligand Binding Sites by Sequence Information and Ensemble Classifier

(2017) Yijie Ding et al.   Journal of Chemical Information and Modeling

Prediction of nucleic acid binding probability in proteins: a neighboring residue network based score

(2015) Z. Miao et al.   NUCLEIC ACIDS RESEARCH

RBRIdent: An algorithm for improved identification of RNA-binding residues in proteins from primary sequences

(2015) Dapeng Xiong et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

A Large-Scale Assessment of Nucleic Acids Binding Site Prediction Programs

(2015) Zhichao Miao et al.   PLoS Computational Biology

RNABindRPlus: A Predictor that Combines Machine Learning and Sequence Homology-Based Methods to Improve the Reliability of Predicted RNA-Binding Residues in Proteins

(2014) Rasna R. Walia et al.   PLoS One

RBRDetector: Improved prediction of binding residues on RNA-binding protein structures using complementary feature- and template-based strategies

(2014) Xiao-Xia Yang et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Protein–ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment

(2013) Jianyi Yang et al.   BIOINFORMATICS

TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble

(2013) Dong-Jun Yu et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

CD-HIT: accelerated for clustering the next-generation sequencing data

(2012) Limin Fu et al.   BIOINFORMATICS

Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling

(2012) Dong-Jun Yu et al.   NEUROCOMPUTING

Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors

(2011) Ke Chen et al.   BIOINFORMATICS

Identification of RNA-binding sites in proteins by integrating various sequence information

(2010) Cui-cui Wang et al.   AMINO ACIDS

Prediction of protein–RNA binding sites by a random forest method with combined features

(2010) Zhi-Ping Liu et al.   BIOINFORMATICS

BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features

(2010) Liangjiang Wang et al.   BMC Systems Biology

Struct-NB: predicting protein-RNA binding sites using structural features

(2010) Fadi Towfic et al.   International Journal of Data Mining and Bioinformatics

Meta prediction of protein crystallization propensity

(2009) Marcin J. Mizianty et al.   BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

Protein function annotation from sequence: prediction of residues interacting with RNA

(2009) R. V. Spriggs et al.   BIOINFORMATICS

Exploiting structural and topological information to improve prediction of RNA-protein binding sites

(2009) Stefan R Maetschke et al.   BMC BIOINFORMATICS

CRYSTALP2: sequence-based protein crystallization propensity prediction

(2009) Lukasz Kurgan et al.   BMC STRUCTURAL BIOLOGY

Predicting RNA-binding sites of proteins using support vector machines and evolutionary information

(2008) Cheng-Wei Cheng et al.   BMC BIOINFORMATICS

RNA-binding proteins and post-transcriptional gene regulation

(2008) Tina Glisovic et al.   FEBS LETTERS

SVMs Modeling for Highly Imbalanced Classification

(2008) Yuchun Tang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry

(2008) Yao Chi Chen et al.   NUCLEIC ACIDS RESEARCH

Prediction of RNA binding sites in a protein using SVM and PSSM profile

(2007) Manish Kumar et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS