Publications by authors named "Shaherin Basith"

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CPPpred-En: Ensemble framework integrating a protein language model and conventional features for highly accurate cell-penetrating peptide prediction.
Yong Eun Jang, Minjun Kwon, Seok Gi Kim, Nimisha Pradeep George, Ji Su Hwang, Shaherin Basith

Comput Biol Med· September 2025

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EnsemPred-ACP: Combining machine and deep learning to improve anticancer peptide prediction.
Minjun Kwon, Yong Eun Jang, Ji Su Hwang, Seok Gi Kim, Nimisha Pradeep George, Shaherin Basith

Comput Biol Med· September 2025

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Employing Automated Machine Learning (AutoML) Methods to Facilitate the ADMET Properties Prediction.
Herim Han, Bilal Shaker, Jin Hee Lee, Sunghwan Choi, Sanghee Yoon, Shaherin Basith

J Chem Inf Model· April 2025

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AntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitus.
Shaherin Basith, Balachandran Manavalan, Gwang Lee

Methods· February 2025

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mHPpred: Accurate identification of peptide hormones using multi-view feature learning.
Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, Gwang Lee

Comput Biol Med· December 2024

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SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features.
Shaherin Basith, Nhat Truong Pham, Balachandran Manavalan, Gwang Lee

Int J Biol Macromol· July 2024

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Unveiling local and global conformational changes and allosteric communications in SOD1 systems using molecular dynamics simulation and network analyses.
Shaherin Basith, Balachandran Manavalan, Gwang Lee

Comput Biol Med· January 2024

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ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information.
Shaherin Basith, Nhat Truong Pham, Minkyung Song, Gwang Lee, Balachandran Manavalan

Comput Biol Med· October 2023

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How well does a data-driven prediction method distinguish dihydrouridine from tRNA and mRNA?
Shaherin Basith, Balachandran Manavalan

Mol Ther Nucleic Acids· March 2023

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Amyotrophic lateral sclerosis disease-related mutations disrupt the dimerization of superoxide dismutase 1 - A comparative molecular dynamics simulation study.
Shaherin Basith, Balachandran Manavalan, Gwang Lee

Comput Biol Med· December 2022

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Reduction in the Migration Activity of Microglia Treated with Silica-Coated Magnetic Nanoparticles and their Recovery Using Citrate.
Tae Hwan Shin, Da Yeon Lee, Yong Eun Jang, Do Hyeon Kwon, Ji Su Hwang, Shaherin Basith

Cells· August 2022

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The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer.
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Chan Bae Park, Wang-Soo Lee

Nanomaterials (Basel)· August 2022

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THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites.
Watshara Shoombuatong, Shaherin Basith, Thejkiran Pitti, Gwang Lee, Balachandran Manavalan

J Mol Biol· June 2022

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Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation Sites.
Shaherin Basith, Hye Jin Chang, Saraswathy Nithiyanandam, Tae Hwan Shin, Balachandran Manavalan

Curr Med Chem· January 2022

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STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction.
Shaherin Basith, Gwang Lee, Balachandran Manavalan

Brief Bioinform· January 2022

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Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2.
Balachandran Manavalan, Shaherin Basith, Gwang Lee

Brief Bioinform· January 2022

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Integrative machine learning framework for the identification of cell-specific enhancers from the human genome.
Shaherin Basith, Md Mehedi Hasan, Gwang Lee, Leyi Wei, Balachandran Manavalan

Brief Bioinform· November 2021

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Silica-coated magnetic-nanoparticle-induced cytotoxicity is reduced in microglia by glutathione and citrate identified using integrated omics.
Tae Hwan Shin, Balachandran Manavalan, Da Yeon Lee, Shaherin Basith, Chan Seo

Part Fibre Toxicol· November 2021

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Strategies to Improve the Quality and Freshness of Human Bone Marrow-Derived Mesenchymal Stem Cells for Neurological Diseases.
Da Yeon Lee, Sung Eun Lee, Do Hyeon Kwon, Saraswathy Nithiyanandam, Mi Ha Lee, Shaherin Basith

Stem Cells Int· September 2021

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Analysis of Nanotoxicity with Integrated Omics and Mechanobiology.
Tae Hwan Shin, Saraswathy Nithiyanandam, Da Yeon Lee, Do Hyeon Kwon, Ji Su Hwang, Shaherin Basith

Nanomaterials (Basel)· September 2021

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Silica-coated magnetic nanoparticles activate microglia and induce neurotoxic D-serine secretion.
Tae Hwan Shin, Da Yeon Lee, Balachandran Manavalan, Shaherin Basith, Yun-Cheol Na

Part Fibre Toxicol· August 2021

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Computational prediction of species-specific yeast DNA replication origin via iterative feature representation.
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Gwang Lee

Brief Bioinform· July 2021

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Mapping the Intramolecular Communications among Different Glutamate Dehydrogenase States Using Molecular Dynamics.
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee

Biomolecules· May 2021

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Decrease in membrane fluidity and traction force induced by silica-coated magnetic nanoparticles.
Tae Hwan Shin, Abdurazak Aman Ketebo, Da Yeon Lee, Seungah Lee, Seong Ho Kang, Shaherin Basith

J Nanobiotechnology· January 2021

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Empirical Comparison and Analysis of Web-Based DNA -Methylcytosine Site Prediction Tools.
Balachandran Manavalan, Md Mehedi Hasan, Shaherin Basith, Vijayakumar Gosu, Tae-Hwan Shin

Mol Ther Nucleic Acids· December 2020

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