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Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2′-O-methylation sites in human RNA.
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- PLoS ONE, 2024, v. 19, n. 6, p. 1, doi. 10.1371/journal.pone.0305406
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- Article
Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach.
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- Briefings in Bioinformatics, 2024, v. 25, n. 1, p. 1, doi. 10.1093/bib/bbad433
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- Article
H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA.
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- Briefings in Bioinformatics, 2024, v. 25, n. 1, p. 1, doi. 10.1093/bib/bbad476
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- Article
Protection of c-Fos from autophagic degradation by PRMT1-mediated methylation fosters gastric tumorigenesis.
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- International Journal of Biological Sciences, 2023, v. 19, n. 12, p. 3640, doi. 10.7150/ijbs.85126
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- Article
A comprehensive revisit of the machine‐learning tools developed for the identification of enhancers in the human genome.
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- Proteomics, 2023, v. 23, n. 13/14, p. 1, doi. 10.1002/pmic.202200409
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- Article
VirPipe: an easy-to-use and customizable pipeline for detecting viral genomes from Nanopore sequencing.
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- Bioinformatics, 2023, v. 39, n. 5, p. 1, doi. 10.1093/bioinformatics/btad293
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- Article
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning.
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- Briefings in Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1093/bib/bbac545
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- Article
The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer.
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- Nanomaterials (2079-4991), 2022, v. 12, n. 15, p. 2656, doi. 10.3390/nano12152656
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- Article
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization.
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- Briefings in Bioinformatics, 2022, v. 23, n. 4, p. 1, doi. 10.1093/bib/bbac243
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- Article
iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model.
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- Briefings in Bioinformatics, 2022, v. 23, n. 4, p. 1, doi. 10.1093/bib/bbac265
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- Article
STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab376
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- Article
Accelerating bioactive peptide discovery via mutual information-based meta-learning.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab499
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Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab412
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- Article
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
Silica-coated magnetic-nanoparticle-induced cytotoxicity is reduced in microglia by glutathione and citrate identified using integrated omics.
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- Particle & Fibre Toxicology, 2021, v. 18, n. 1, p. 1, doi. 10.1186/s12989-021-00433-y
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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
Silica-coated magnetic-nanoparticle-induced cytotoxicity is reduced in microglia by glutathione and citrate identified using integrated omics.
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- Particle & Fibre Toxicology, 2021, v. 18, n. 1, p. 1, doi. 10.1186/s12989-021-00433-y
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- Publication type:
- Article
Silica-coated magnetic-nanoparticle-induced cytotoxicity is reduced in microglia by glutathione and citrate identified using integrated omics.
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- Particle & Fibre Toxicology, 2021, v. 18, n. 1, p. 1, doi. 10.1186/s12989-021-00433-y
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- Article
Integrative machine learning framework for the identification of cell-specific enhancers from the human genome.
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- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab252
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- 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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- Article
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning.
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- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab167
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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
Silica-coated magnetic nanoparticles activate microglia and induce neurotoxic d-serine secretion.
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- Particle & Fibre Toxicology, 2021, v. 18, n. 1, p. 1, doi. 10.1186/s12989-021-00420-3
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Computational prediction of species-specific yeast DNA replication origin via iterative feature representation.
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- Briefings in Bioinformatics, 2021, v. 22, n. 4, p. 1, doi. 10.1093/bib/bbaa304
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- Article
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework.
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- Briefings in Bioinformatics, 2021, v. 22, n. 4, p. 1, doi. 10.1093/bib/bbaa275
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- Article
Critical evaluation of web-based DNA N6-methyladenine site prediction tools.
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- Briefings in Functional Genomics, 2021, v. 20, n. 4, p. 258, doi. 10.1093/bfgp/elaa028
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- Article
Mapping the Intramolecular Communications among Different Glutamate Dehydrogenase States Using Molecular Dynamics.
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- Biomolecules (2218-273X), 2021, v. 11, n. 6, p. 798, doi. 10.3390/biom11060798
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- Article
Meta-i6mA: an interspecies predictor for identifying DNA N<sup>6</sup>-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework.
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- Briefings in Bioinformatics, 2021, v. 22, n. 3, p. 1, doi. 10.1093/bib/bbaa202
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- Article
Decrease in membrane fluidity and traction force induced by silica-coated magnetic nanoparticles.
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- Journal of Nanobiotechnology, 2021, v. 19, n. 1, p. 1, doi. 10.1186/s12951-020-00765-5
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- Article
Metabolome Changes in Cerebral Ischemia.
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- Cells (2073-4409), 2020, v. 9, n. 7, p. 1630, doi. 10.3390/cells9071630
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- Article
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening.
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- Medicinal Research Reviews, 2020, v. 40, n. 4, p. 1276, doi. 10.1002/med.21658
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- 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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- Article
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation.
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- Plant Molecular Biology, 2020, v. 103, n. 1/2, p. 225, doi. 10.1007/s11103-020-00988-y
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- Article
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools.
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- Briefings in Bioinformatics, 2020, v. 21, n. 2, p. 408, doi. 10.1093/bib/bby124
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- Article
Iterative feature representations improve N4-methylcytosine site prediction.
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- Bioinformatics, 2019, v. 35, n. 23, p. 4930, doi. 10.1093/bioinformatics/btz408
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- Article
4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-Methylcytosine Sites in the Mouse Genome.
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- Cells (2073-4409), 2019, v. 8, n. 11, p. 1332, doi. 10.3390/cells8111332
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- Article
Silica-Coated Magnetic Nanoparticles Decrease Human Bone Marrow-Derived Mesenchymal Stem Cell Migratory Activity by Reducing Membrane Fluidity and Impairing Focal Adhesion.
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- Nanomaterials (2079-4991), 2019, v. 9, n. 10, p. 1475, doi. 10.3390/nano9101475
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- Article
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation.
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- Bioinformatics, 2019, v. 35, n. 16, p. 2757, doi. 10.1093/bioinformatics/bty1047
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- Article
Silica-coated magnetic nanoparticles induce glucose metabolic dysfunction in vitro via the generation of reactive oxygen species.
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- Archives of Toxicology, 2019, v. 93, n. 5, p. 1201, doi. 10.1007/s00204-019-02402-z
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- Article
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides.
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- International Journal of Molecular Sciences, 2019, v. 20, n. 8, p. 1964, doi. 10.3390/ijms20081964
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- Article
A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-α.
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- International Journal of Molecular Sciences, 2019, v. 20, n. 7, p. 1666, doi. 10.3390/ijms20071666
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- Article
PFDB: A standardized protein folding database with temperature correction.
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- Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-018-36992-y
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- Article
PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions.
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- Frontiers in Immunology, 2018, p. N.PAG, doi. 10.3389/fimmu.2018.01783
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- Article
Bidirectional Transcriptome Analysis of Rat Bone Marrow-Derived Mesenchymal Stem Cells and Activated Microglia in an In Vitro Coculture System.
- Published in:
- Stem Cells International, 2018, p. 1, doi. 10.1155/2018/6126413
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- Article
AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest.
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- Frontiers in Pharmacology, 2018, p. 1, doi. 10.3389/fphar.2018.00276
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- Article
Protein structure modeling and refinement by global optimization in CASP12.
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- Proteins, 2018, v. 86, n. 1, p. 122, doi. 10.1002/prot.25426
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Methods for estimation of model accuracy in CASP12.
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- Proteins, 2018, v. 86, n. 1, p. 361, doi. 10.1002/prot.25395
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SVMQA: support--vector-machine-based protein single-model quality assessment.
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- Bioinformatics, 2017, v. 33, n. 16, p. 2496, doi. 10.1093/bioinformatics/btx222
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Template based protein structure modeling by global optimization in CASP11.
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- Proteins, 2016, v. 84, p. 221, doi. 10.1002/prot.24917
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- Article
Random Forest-Based Protein Model Quality Assessment (RFMQA) Using Structural Features and Potential Energy Terms.
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- PLoS ONE, 2014, v. 9, n. 9, p. 1, doi. 10.1371/journal.pone.0106542
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- Article