Shaherin Basith

According to our database, Shaherin Basith authored at least 14 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Employing Automated Machine Learning (AutoML) Methods to Facilitate the <i>In Silico</i> ADMET Properties Prediction.

Herim Han, Bilal Shaker, Jin Hee Lee, Sunghwan Choi, Sanghee Yoon, Maninder Singh, Shaherin Basith, Minghua Cui, Sunil Ahn, Junyoung An, Soosung Kang, Min Sun Yeom, Sun Choi

J. Chem. Inf. Model., 2025

EnsemPred-ACP: Combining machine and deep learning to improve anticancer peptide prediction.

Minjun Kwon, Yongeun Jang, Ji Su Hwang, Seok Gi Kim, Nimisha Pradeep George, Shaherin Basith, Gwang Lee

Comput. Biol. Medicine, 2025

CPPpred-En: Ensemble framework integrating a protein language model and conventional features for highly accurate cell-penetrating peptide prediction.

Yongeun Jang, Minjun Kwon, Seok Gi Kim, Nimisha Pradeep George, Ji Su Hwang, Shaherin Basith, Gwang Lee

Comput. Biol. Medicine, 2025

2024

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. Medicine, January, 2024

mHPpred: Accurate identification of peptide hormones using multi-view feature learning.

Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, Gwang Lee

Comput. Biol. Medicine, 2024

2023

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. Medicine, October, 2023

2022

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. Medicine, 2022

Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2.

Balachandran Manavalan, Shaherin Basith, Gwang Lee

Briefings Bioinform., 2022

STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction.

Shaherin Basith, Gwang Lee, Balachandran Manavalan

Briefings Bioinform., 2022

2021

Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework.

Md. Mehedi Hasan, Shaherin Basith, Mst. Shamima Khatun, Gwang Lee, Balachandran Manavalan, Hiroyuki Kurata

Briefings Bioinform., 2021

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

Briefings Bioinform., 2021

2020

HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation.

Md. Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, Gwang Lee, Watshara Shoombuatong, Balachandran Manavalan

Bioinform., 2020

2019

mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation.

Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee

Bioinform., 2019

2012

An in-depth analysis of the molecular dynamics and structural aspects of IKB proteins.

Shaherin Basith, Sangdun Choi

Proceedings of the ACM International Conference on Bioinformatics, 2012