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Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides.
- Published in:
- Journal of Computer-Aided Molecular Design, 2022, v. 36, n. 11, p. 781, doi. 10.1007/s10822-022-00476-z
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- Publication type:
- 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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- Publication type:
- Article
IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations.
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- Journal of Computer-Aided Molecular Design, 2021, v. 35, n. 3, p. 315, doi. 10.1007/s10822-020-00368-0
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- Publication type:
- Article
ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations.
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- Journal of Computer-Aided Molecular Design, 2020, v. 34, n. 12, p. 1229, doi. 10.1007/s10822-020-00343-9
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- Publication type:
- 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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- Publication type:
- 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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- Publication type:
- Article
Leveraging a meta-learning approach to advance the accuracy of Na<sub>v</sub> blocking peptides prediction.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-55160-z
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- Publication type:
- Article
CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins.
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- Journal of Chemistry, 2017, p. 1, doi. 10.1155/2017/9861752
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- Publication type:
- Article
osFP: a web server for predicting the oligomeric states of fluorescent proteins.
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- Journal of Cheminformatics, 2016, v. 8, n. 1, p. 1, doi. 10.1186/s13321-016-0185-8
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- Publication type:
- Article
EMPIRICAL COMPARISON AND ANALYSIS OF MACHINE LEARNING-BASED APPROACHES FOR DRUGGABLE PROTEIN IDENTIFICATION.
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- EXCLI Journal, 2023, v. 22, p. 915, doi. 10.17179/excli2023-6410
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- Publication type:
- 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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- Publication type:
- Article
EMPIRICAL COMPARISON AND ANALYSIS OF MACHINE LEARNING-BASED PREDICTORS FOR PREDICTING AND ANALYZING OF THERMOPHILIC PROTEINS.
- Published in:
- EXCLI Journal, 2022, v. 21, p. 554, doi. 10.17179/excli2022-4723
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- Publication type:
- 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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- Publication type:
- Article
UNRAVELING THE BIOACTIVITY OF ANTICANCER PEPTIDES AS DEDUCED FROM MACHINE LEARNING.
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- EXCLI Journal, 2018, v. 17, p. 734, doi. 10.17179/excli2018-1447
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- Publication type:
- Article
TOWARDS UNDERSTANDING AROMATASE INHIBITORY ACTIVITY VIA QSAR MODELING.
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- EXCLI Journal, 2018, v. 17, p. 688, doi. 10.17179/excli2018-1417
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- Publication type:
- Article
PREDICTION OF AROMATASE INHIBITORY ACTIVITY USING THE EFFICIENT LINEAR METHOD (ELM).
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- EXCLI Journal, 2015, v. 14, p. 452, doi. 10.17179/excli2015-140
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- Publication type:
- Article
CLASSIFICATION OF P-GLYCOPROTEIN-INTERACTING COMPOUNDS USING MACHINE LEARNING METHODS.
- Published in:
- EXCLI Journal, 2015, v. 14, p. 958, doi. 10.17179/excli2015-374
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- Publication type:
- Article
The MicroRNA Interaction Network of Lipid Diseases.
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- Frontiers in Genetics, 2017, p. 1, doi. 10.3389/fgene.2017.00116
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- Publication type:
- 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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- Publication type:
- Article
ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides.
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- Molecules, 2019, v. 24, n. 10, p. 1973, doi. 10.3390/molecules24101973
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- Publication type:
- 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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- Publication type:
- 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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- Publication type:
- Article
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation.
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- Bioinformatics, 2020, v. 36, n. 11, p. 3350, doi. 10.1093/bioinformatics/btaa160
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- Publication type:
- Article
Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-25539-x
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- Publication type:
- Article
AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-11897-z
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- Publication type:
- Article
StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy.
- Published in:
- Scientific Reports, 2022, v. 11, n. 1, p. 1, doi. 10.1038/s41598-022-20143-5
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- Publication type:
- Article
Predicting Metabolic Syndrome Using the Random Forest Method.
- Published in:
- Scientific World Journal, 2015, v. 2015, p. 1, doi. 10.1155/2015/581501
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- Publication type:
- Article
Predicting Metabolic Syndrome Using the Random Forest Method.
- Published in:
- 2015
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- Publication type:
- journal article
DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α + -Thalassemia Trait Using Red Blood Cell Parameters.
- Published in:
- Journal of Clinical Medicine, 2022, v. 11, n. 21, p. 6305, doi. 10.3390/jcm11216305
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- Publication type:
- Article
StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-50393-w
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- Publication type:
- 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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- Publication type:
- Article
HCVpred: A web server for predicting the bioactivity of hepatitis C virus NS5B inhibitors.
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- Journal of Computational Chemistry, 2020, v. 41, n. 20, p. 1820, doi. 10.1002/jcc.26223
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- Publication type:
- 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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- Publication type:
- 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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- Publication type:
- Article
SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-08173-5
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- Publication type:
- Article
A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-03293-w
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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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- Publication type:
- 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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- Publication type:
- Article
The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes.
- Published in:
- Briefings in Bioinformatics, 2024, v. 25, n. 1, p. 1, doi. 10.1093/bib/bbad489
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- Publication type:
- Article
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides.
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- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab172
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- Publication type:
- Article
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning.
- Published in:
- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab167
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- Publication type:
- Article
Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-82513-9
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- Publication type:
- Article
Critical evaluation of web-based DNA N6-methyladenine site prediction tools.
- Published in:
- Briefings in Functional Genomics, 2021, v. 20, n. 4, p. 258, doi. 10.1093/bfgp/elaa028
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- Publication type:
- Article
Navigating the chemical space of dipeptidyl peptidase-4 inhibitors.
- Published in:
- Drug Design, Development & Therapy, 2015, v. 9, p. 4515, doi. 10.2147/DDDT.S86529
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- Publication type:
- Article
New Bioinformatics-Based Discrimination Formulas for Differentiation of Thalassemia Traits From Iron Deficiency Anemia.
- Published in:
- Laboratory Medicine, 2017, v. 48, n. 3, p. 230, doi. 10.1093/labmed/lmx029
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- Publication type:
- Article
PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features.
- Published in:
- International Journal of Molecular Sciences, 2021, v. 22, n. 5, p. 2704, doi. 10.3390/ijms22052704
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- Publication type:
- Article
PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations.
- Published in:
- International Journal of Molecular Sciences, 2021, v. 22, n. 4, p. 2120, doi. 10.3390/ijms22042120
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- Publication type:
- 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.
- Published in:
- 2020
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- Publication type:
- 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
Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation.
- Published in:
- International Journal of Molecular Sciences, 2019, v. 20, n. 22, p. 5743, doi. 10.3390/ijms20225743
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- Publication type:
- Article