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SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids.
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- Pharmaceutics, 2022, v. 14, n. 1, p. 122, doi. 10.3390/pharmaceutics14010122
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- Article
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists.
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- Journal of Cheminformatics, 2023, v. 15, n. 1, p. 1, doi. 10.1186/s13321-023-00721-z
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- Article
Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review.
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- Drones (2504-446X), 2023, v. 7, n. 2, p. 80, doi. 10.3390/drones7020080
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- Article
SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-08173-5
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- Article
A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-03293-w
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- Article
Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-82513-9
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- Article
TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides.
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- BMC Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12859-023-05463-1
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- Article
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens.
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- BMC Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12859-023-05421-x
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- Article
DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α + -Thalassemia Trait Using Red Blood Cell Parameters.
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- Journal of Clinical Medicine, 2022, v. 11, n. 21, p. 6305, doi. 10.3390/jcm11216305
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- Article
AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-11897-z
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- Article
StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy.
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- Scientific Reports, 2022, v. 11, n. 1, p. 1, doi. 10.1038/s41598-022-20143-5
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- Article
Predicting Neuroinflammation in Morphine Tolerance for Tolerance Therapy from Immunostaining Images of Rat Spinal Cord.
- Published in:
- PLoS ONE, 2015, v. 10, n. 10, p. 1, doi. 10.1371/journal.pone.0139806
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- Article
SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs.
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- PLoS ONE, 2013, v. 8, n. 9, p. 1, doi. 10.1371/journal.pone.0072368
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- Article
SCMMTP: identifying and characterizing membrane transport proteins using propensity scores of dipeptides.
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- BMC Genomics, 2015, v. 16, p. 1, doi. 10.1186/1471-2164-16-S12-S6
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- Article
Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.
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- BMC Bioinformatics, 2015, v. 16, p. 1, doi. 10.1186/1471-2105-16-S18-S14
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- Article
SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method.
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- BMC Bioinformatics, 2015, v. 16, p. 1, doi. 10.1186/1471-2105-16-S1-S8
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- Article
Discovery of prognostic biomarkers for predicting lung cancer metastasis using microarray and survival data.
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- BMC Bioinformatics, 2015, v. 16, n. 1, p. 1, doi. 10.1186/s12859-015-0463-x
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- Article
Discovery of prognostic biomarkers for predicting lung cancer metastasis using microarray and survival data.
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- BMC Bioinformatics, 2015, v. 16, n. 1, p. 1, doi. 10.1186/s12859-015-0463-x
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- Article
SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides.
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- BMC Bioinformatics, 2014, v. 15, n. Suppl 16, p. 1, doi. 10.1186/1471-2105-15-S16-S4
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- Article
HCS-Neurons: identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening.
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- BMC Bioinformatics, 2013, v. 14, n. Suppl 16, p. 1, doi. 10.1186/1471-2105-14-S16-S12
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- Article
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides.
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- Bioinformatics, 2021, v. 37, n. 17, p. 2556, doi. 10.1093/bioinformatics/btab133
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- Article
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides.
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- Journal of Computer-Aided Molecular Design, 2022, v. 36, n. 11, p. 781, doi. 10.1007/s10822-022-00476-z
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- Article
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors.
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- Journal of Computer-Aided Molecular Design, 2021, v. 35, n. 10, p. 1037, doi. 10.1007/s10822-021-00418-1
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- Article
Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation.
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- Journal of Computer-Aided Molecular Design, 2020, v. 34, n. 10, p. 1105, doi. 10.1007/s10822-020-00323-z
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- Article
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides.
- Published in:
- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab172
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- Article
Machine-learning-assisted high-throughput identification of potent and stable neutralizing antibodies against all four dengue virus serotypes.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-67487-8
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- Article
TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virus.
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- PLoS ONE, 2023, v. 18, n. 8, p. 1, doi. 10.1371/journal.pone.0290538
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- Article
RECENT DEVELOPMENT OF MACHINE LEARNING-BASED METHODS FOR THE PREDICTION OF DEFENSIN FAMILY AND SUBFAMILY.
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- EXCLI Journal, 2022, v. 21, p. 757, doi. 10.17179/excli2022-4913
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- Article
EMPIRICAL COMPARISON AND ANALYSIS OF MACHINE LEARNING-BASED PREDICTORS FOR PREDICTING AND ANALYZING OF THERMOPHILIC PROTEINS.
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- EXCLI Journal, 2022, v. 21, p. 554, doi. 10.17179/excli2022-4723
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- Article
LARGE-SCALE COMPARATIVE REVIEW AND ASSESSMENT OF COMPUTATIONAL METHODS FOR PHAGE VIRION PROTEINS IDENTIFICATION.
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- EXCLI Journal, 2022, v. 21, p. 11, doi. 10.17179/excli2021-4411
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- Article
Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition.
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- BMC Bioinformatics, 2012, v. 13, n. Suppl 17, p. 1, doi. 10.1186/1471-2105-13-S17-S3
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- Article
NeurphologyJ: An automatic neuronal morphology quantification method and its application in pharmacological discovery.
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- BMC Bioinformatics, 2011, v. 12, n. 1, p. 230, doi. 10.1186/1471-2105-12-230
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- Article
UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning.
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- International Journal of Molecular Sciences, 2021, v. 22, n. 23, p. 13124, doi. 10.3390/ijms222313124
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- Article
iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features.
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- International Journal of Molecular Sciences, 2021, v. 22, n. 16, p. 8958, doi. 10.3390/ijms22168958
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- Article
Correction: Shoombuatong, W., et al. iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties. Int. J. Mol. Sci. 2020, 21, 75.
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- 2020
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- Correction Notice
iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties.
- Published in:
- International Journal of Molecular Sciences, 2020, v. 21, n. 1, p. 75, doi. 10.3390/ijms21010075
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- Publication type:
- Article
iPMI: Machine Learning-Aided Identification of Parametrial Invasion in Women with Early-Stage Cervical Cancer.
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- Diagnostics (2075-4418), 2021, v. 11, n. 8, p. 1454, doi. 10.3390/diagnostics11081454
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- Article
PVPred-SCM: Improved Prediction and Analysis of Phage Virion Proteins Using a Scoring Card Method.
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- Cells (2073-4409), 2020, v. 9, n. 2, p. 353, doi. 10.3390/cells9020353
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- Article
1D Barcode Detection: Novel Benchmark Datasets and Comprehensive Comparison of Deep Convolutional Neural Network Approaches.
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- Sensors (14248220), 2022, v. 22, n. 22, p. 8788, doi. 10.3390/s22228788
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- Article