Machine learning discovery of missing links that mediate alternative branches to plant alkaloids.
PMID:35296652
Response to Cold: A Comparative Transcriptomic Analysis in Eight Cold-Adapted Yeasts.
PMID:35283858
SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins.
PMID:35260777
Large-scale comparative review and assessment of computational methods for phage virion proteins identification.
PMID:35145365
ILeukin10Pred: A Computational Approach for Predicting IL-10-Inducing Immunosuppressive Peptides Using Combinations of Amino Acid Global Features.
PMID:35053004
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors.
PMID:34750626
Quantitative prediction model for affinity of drug-target interactions based on molecular vibrations and overall system of ligand-receptor.
PMID:34649499
Deep Learning for Protein-Protein Interaction Site Prediction.
PMID:34236667
Predicting Drug-Target Interactions Based on the Ensemble Models of Multiple Feature Pairs.
PMID:34202954
Discovery of Novel eEF2K Inhibitors Using HTS Fingerprint Generated from Predicted Profiling of Compound-Protein Interactions.
PMID:34065377
Analysis of protein determinants of host-specific infection properties of polyomaviruses using machine learning.
PMID:33646531
Identification of Stress-Related Genes and a Comparative Analysis of the Amino Acid Compositions of Translated Coding Sequences Based on Draft Genome Sequences of Antarctic Yeasts.
PMID:33633709
DTI-SNNFRA: Drug-target interaction prediction by shared nearest neighbors and fuzzy-rough approximation.
PMID:33606741
LPI-SKF: Predicting lncRNA-Protein Interactions Using Similarity Kernel Fusions.
PMID:33362868
Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification.
PMID:33316035
ISLAND: in-silico proteins binding affinity prediction using sequence information.
PMID:33292419
Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance.
PMID:33159146
Predicting Drug-Target Interactions with Electrotopological State Fingerprints and Amphiphilic Pseudo Amino Acid Composition.
PMID:32784497
Protein-Protein Interactions Efficiently Modeled by Residue Cluster Classes.
PMID:32640745
An automatic representation of peptides for effective antimicrobial activity classification.
PMID:32180904
Predicting the impacts of mutations on protein-ligand binding affinity based on molecular dynamics simulations and machine learning methods.
PMID:32153730
Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.
PMID:31874614
RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou's five-step rule.
PMID:31802128
An in silico Approach for Integrating Phenotypic and Target-based Approaches in Drug Discovery.
PMID:31638744
Trans-Species Polymorphism in Mitochondrial Genome of Camarodont Sea Urchins.
PMID:31387337
ProtDCal-Suite: A web server for the numerical codification and functional analysis of proteins.
PMID:31271472
DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.
PMID:31123959
Machine learning antimicrobial peptide sequences: Some surprising variations on the theme of amphiphilic assembly.
PMID:31093008
Revealing Drug-Target Interactions with Computational Models and Algorithms.
PMID:31052598
3D proteochemometrics: using three-dimensional information of proteins and ligands to address aspects of the selectivity of serine proteases.
PMID:30108817
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases.
PMID:30084866
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.
PMID:29528364
CIPPN: computational identification of protein pupylation sites by using neural network.
PMID:29312575
What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?
PMID:29147555
UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences.
PMID:29135934
Machine learning-enabled discovery and design of membrane-active peptides.
PMID:28728899
Drug-target interaction prediction via class imbalance-aware ensemble learning.
PMID:28155697
A protein network descriptor server and its use in studying protein, disease, metabolic and drug targeted networks.
PMID:27542402
SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity.
PMID:27525735
Roles of d-Amino Acids on the Bioactivity of Host Defense Peptides.
PMID:27376281
BioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions.
PMID:27330567
Prediction of Protein Submitochondrial Locations by Incorporating Dipeptide Composition into Chou's General Pseudo Amino Acid Composition.
PMID:26746980
ProtDCal: A program to compute general-purpose-numerical descriptors for sequences and 3D-structures of proteins.
PMID:25982853
When drug discovery meets web search: Learning to Rank for ligand-based virtual screening.
PMID:25705262
A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach.
PMID:25527073
Predicting host tropism of influenza A virus proteins using random forest.
PMID:25521718
How do eubacterial organisms manage aggregation-prone proteome?
PMID:25339987
A novel feature extraction scheme with ensemble coding for protein-protein interaction prediction.
PMID:25046746
Identification of host-microbe interaction factors in the genomes of soft rot-associated pathogens Dickeya dadantii 3937 and Pectobacterium carotovorum WPP14 with supervised machine learning.
PMID:24952641
A review of machine learning methods to predict the solubility of overexpressed recombinant proteins in Escherichia coli.
PMID:24885721
An ensemble method approach to investigate kinase-specific phosphorylation sites.
PMID:24872686
Computational chemogenomics: is it more than inductive transfer?
PMID:24771144
Application of Hybrid Functional Groups to Predict ATP Binding Proteins.
PMID:24729962
SPiCE: a web-based tool for sequence-based protein classification and exploration.
PMID:24685258
Multi-algorithm and multi-model based drug target prediction and web server.
PMID:24487966
Structural determinants for protein adsorption/non-adsorption to silica surface.
PMID:24282583
Benchmarking of protein descriptor sets in proteochemometric modeling (part 2): modeling performance of 13 amino acid descriptor sets.
PMID:24059743
Prediction of lung tumor types based on protein attributes by machine learning algorithms.
PMID:23888262
A unified proteochemometric model for prediction of inhibition of cytochrome p450 isoforms.
PMID:23799117
The development of a universal in silico predictor of protein-protein interactions.
PMID:23741499
Improved classification of lung cancer tumors based on structural and physicochemical properties of proteins using data mining models.
PMID:23505559
An ensemble method for predicting subnuclear localizations from primary protein structures.
PMID:23460833
EuLoc: a web-server for accurately predict protein subcellular localization in eukaryotes by incorporating various features of sequence segments into the general form of Chou's PseAAC.
PMID:23283513
CyanoPhyChe: a database for physico-chemical properties, structure and biochemical pathway information of cyanobacterial proteins.
PMID:23185330
Classification of lung cancer tumors based on structural and physicochemical properties of proteins by bioinformatics models.
PMID:22829872
A systematic prediction of multiple drug-target interactions from chemical, genomic, and pharmacological data.
PMID:22666371
Exploiting heterogeneous features to improve in silico prediction of peptide status - amyloidogenic or non-amyloidogenic.
PMID:22373069
Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence.
PMID:21609959
Analysis of multiple compound-protein interactions reveals novel bioactive molecules.
PMID:21364574
NClassG+: A classifier for non-classically secreted Gram-positive bacterial proteins.
PMID:21235786
A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence.
PMID:21127034
An improved classification of G-protein-coupled receptors using sequence-derived features.
PMID:20696050
Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear and non-linear data analysis techniques.
PMID:20569422
Prediction of functional class of proteins and peptides irrespective of sequence homology by support vector machines.
PMID:20066123
CAMP: a useful resource for research on antimicrobial peptides.
PMID:19923233
Enzyme classification with peptide programs: a comparative study.
PMID:19630945
A chemogenomics view on protein-ligand spaces.
PMID:19534738
Human Pol II promoter recognition based on primary sequences and free energy of dinucleotides.
PMID:18294399
Amino acid biophysical properties in the statistical prediction of peptide-MHC class I binding.
PMID:17967170
Efficacy of different protein descriptors in predicting protein functional families.
PMID:17705863