Pramote Chumnanpuen

Bangkok, Thailand

Last Updated: 09/26/2026

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Found 45 publications

MIF-MAPMS: Enhancing identification of myelin autoantigenic peptides in multiple sclerosis through multimodal information fusion.

MIF-MAPMS: Enhancing identification of myelin autoantigenic peptides in multiple sclerosis through multimodal information fusion.

Journal: Protein science : a publication of the Protein Society

Published: March 30, 2026

Bridging In Silico design and experimental validation: Virtual screening and In Vitro assessment of biomimetic anticancer peptides inspired by horseshoe crab hemolymph proteins.

Bridging In Silico design and experimental validation: Virtual screening and In Vitro assessment of biomimetic anticancer peptides inspired by horseshoe crab hemolymph proteins.

Journal: European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences

Published: February 27, 2026

Synthesis and Characterization of Mg-Doped CuO Nanoparticles and Their Enhanced Anticancer Efficacy Against HepG2 Liver Cancer Cells.

Synthesis and Characterization of Mg-Doped CuO Nanoparticles and Their Enhanced Anticancer Efficacy Against HepG2 Liver Cancer Cells.

Journal: International journal of molecular sciences

Published: December 05, 2025

Virtual Screening of Cathelicidin-Derived Anticancer Peptides and Validation of Their Production in the Probiotic Limosilactobacillus fermentum KUB-D18 Using Genome-Scale Metabolic Modeling and Experimental Approaches.

Virtual Screening of Cathelicidin-Derived Anticancer Peptides and Validation of Their Production in the Probiotic Limosilactobacillus fermentum KUB-D18 Using Genome-Scale Metabolic Modeling and Experimental Approaches.

Journal: International journal of molecular sciences

Published: September 10, 2025

BLSAM-TIP: Improved and robust identification of tyrosinase inhibitory peptides by integrating bidirectional LSTM with self-attention mechanism.

BLSAM-TIP: Improved and robust identification of tyrosinase inhibitory peptides by integrating bidirectional LSTM with self-attention mechanism.

Journal: PloS one

Published: January 15, 2025

Dissecting Metabolic Functions and Sugar Transporters Using Genome and Transportome of Probiotic Limosilactobacillus fermentum KUB-D18.

Dissecting Metabolic Functions and Sugar Transporters Using Genome and Transportome of Probiotic Limosilactobacillus fermentum KUB-D18.

Journal: Genes

Published: January 09, 2025

GRU4ACE: Enhancing ACE inhibitory peptide prediction by integrating gated recurrent unit with multi-source feature embeddings.

GRU4ACE: Enhancing ACE inhibitory peptide prediction by integrating gated recurrent unit with multi-source feature embeddings.

Journal: Protein science : a publication of the Protein Society

Published: October 18, 2024

PSR-MAPMS: A new approach for the interpretable prediction of myelin autoantigenic peptides in multiple sclerosis using multi-source propensity scores.

PSR-MAPMS: A new approach for the interpretable prediction of myelin autoantigenic peptides in multiple sclerosis using multi-source propensity scores.

Journal: Protein science : a publication of the Protein Society

Published: September 09, 2024

Expanded Gene Regulatory Network Reveals Potential Light-Responsive Transcription Factors and Target Genes in Cordyceps militaris.

Expanded Gene Regulatory Network Reveals Potential Light-Responsive Transcription Factors and Target Genes in Cordyceps militaris.

Journal: International journal of molecular sciences

Published: August 19, 2024

Stack-AVP: A Stacked Ensemble Predictor Based on Multi-view Information for Fast and Accurate Discovery of Antiviral Peptides.

Stack-AVP: A Stacked Ensemble Predictor Based on Multi-view Information for Fast and Accurate Discovery of Antiviral Peptides.

Journal: Journal of molecular biology

Published: July 11, 2024

Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides.

Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides.

Journal: Methods (San Diego, Calif.)

Published: June 21, 2024

Advancing the Accuracy of Anti-MRSA Peptide Prediction Through Integrating Multi-Source Protein Language Models.

Advancing the Accuracy of Anti-MRSA Peptide Prediction Through Integrating Multi-Source Protein Language Models.

Journal: Interdisciplinary sciences, computational life sciences

Published: May 30, 2024

Showing 1-12 of 45

Last Updated: 09/26/2026