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Shaherin Basith

Showing results (41-50 of 62) with videos related to

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Current Medicinal Chemistry|September 3, 2021
Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation SitesShaherin Basith, Hye Jin Chang, Saraswathy Nithiyanandam, et al.
Molecular Therapy. Nucleic Acids|November 24, 2020
Empirical Comparison and Analysis of Web-Based DNA <i>N</i> <sup>4</sup>-Methylcytosine Site Prediction ToolsBalachandran Manavalan, Md Mehedi Hasan, Shaherin Basith, et al.
Oncotarget|November 5, 2017
MLACP: machine-learning-based prediction of anticancer peptidesBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Protein Science : a Publication of the Protein Society|July 10, 2026
SSEL-CPP: A SHAP-based feature-selection ensemble learning framework identifies molecular properties of cell-penetrating peptidesChan Woo Kwon, Minjun Kwon, Shaherin Basith, et al.
Briefings in Bioinformatics|September 10, 2020
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning frameworkMd Mehedi Hasan, Shaherin Basith, Mst Shamima Khatun, et al.
Molecules (Basel, Switzerland)|August 8, 2018
Evolution of In Silico Strategies for Protein-Protein Interaction Drug DiscoveryStephani Joy Y Macalino, Shaherin Basith, Nina Abigail B Clavio, et al.
Nanomaterials (Basel, Switzerland)|August 12, 2022
The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible KillerShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Frontiers in Pharmacology|March 30, 2018
Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug DesignShaherin Basith, Minghua Cui, Stephani J Y Macalino, et al.
Computers in Biology and Medicine|July 4, 2025
EnsemPred-ACP: Combining machine and deep learning to improve anticancer peptide predictionMinjun Kwon, Yong Eun Jang, Ji Su Hwang, et al.
Computers in Biology and Medicine|June 21, 2025
CPPpred-En: Ensemble framework integrating a protein language model and conventional features for highly accurate cell-penetrating peptide predictionYong Eun Jang, Minjun Kwon, Seok Gi Kim, et al.
Pageof 7

Showing results (41-50 of 62) with videos related to

Sort By:
Pageof 7
Current Medicinal Chemistry|September 3, 2021
Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation SitesShaherin Basith, Hye Jin Chang, Saraswathy Nithiyanandam, et al.
Molecular Therapy. Nucleic Acids|November 24, 2020
Empirical Comparison and Analysis of Web-Based DNA <i>N</i> <sup>4</sup>-Methylcytosine Site Prediction ToolsBalachandran Manavalan, Md Mehedi Hasan, Shaherin Basith, et al.
Oncotarget|November 5, 2017
MLACP: machine-learning-based prediction of anticancer peptidesBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Protein Science : a Publication of the Protein Society|July 10, 2026
SSEL-CPP: A SHAP-based feature-selection ensemble learning framework identifies molecular properties of cell-penetrating peptidesChan Woo Kwon, Minjun Kwon, Shaherin Basith, et al.
Briefings in Bioinformatics|September 10, 2020
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning frameworkMd Mehedi Hasan, Shaherin Basith, Mst Shamima Khatun, et al.
Molecules (Basel, Switzerland)|August 8, 2018
Evolution of In Silico Strategies for Protein-Protein Interaction Drug DiscoveryStephani Joy Y Macalino, Shaherin Basith, Nina Abigail B Clavio, et al.
Nanomaterials (Basel, Switzerland)|August 12, 2022
The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible KillerShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Frontiers in Pharmacology|March 30, 2018
Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug DesignShaherin Basith, Minghua Cui, Stephani J Y Macalino, et al.
Computers in Biology and Medicine|July 4, 2025
EnsemPred-ACP: Combining machine and deep learning to improve anticancer peptide predictionMinjun Kwon, Yong Eun Jang, Ji Su Hwang, et al.
Computers in Biology and Medicine|June 21, 2025
CPPpred-En: Ensemble framework integrating a protein language model and conventional features for highly accurate cell-penetrating peptide predictionYong Eun Jang, Minjun Kwon, Seok Gi Kim, et al.
Pageof 7