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Molecular Therapy. Nucleic Acids
|
September 23, 2019
SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Computational and Structural Biotechnology Journal
|
November 15, 2018
iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Journal of Biomedicine & Biotechnology
|
March 21, 2008
Characterization of phototransduction gene knockouts revealed important signaling networks in the light-induced retinal degeneration
Jayalakshmi Krishnan, Gwang Lee, Sang-Uk Han, et al.
BMC Structural Biology
|
January 14, 2010
Molecular modeling of the reductase domain to elucidate the reaction mechanism of reduction of peptidyl thioester into its corresponding alcohol in non-ribosomal peptide synthetases
Balachandran Manavalan, Senthil K Murugapiran, Gwang Lee, et al.
Biomolecules
|
June 2, 2021
Mapping the Intramolecular Communications among Different Glutamate Dehydrogenase States Using Molecular Dynamics
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
International Journal of Molecular Sciences
|
April 17, 2019
A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-α
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Computers in Biology and Medicine
|
October 23, 2024
mHPpred: Accurate identification of peptide hormones using multi-view feature learning
Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Frontiers in Immunology
|
August 16, 2018
PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions
Balachandran Manavalan, Tae Hwan Shin, Myeong Ok Kim, et al.
Journal of Molecular Biology
|
June 6, 2022
THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites
Watshara Shoombuatong, Shaherin Basith, Thejkiran Pitti, et al.
Frontiers in Pharmacology
|
April 12, 2018
AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest
Balachandran Manavalan, Tae H Shin, Myeong O Kim, et al.
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of 17
Search research articles
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Showing results (21-30 of 168) with videos related to
Sort By:
Page
of 17
Molecular Therapy. Nucleic Acids
|
September 23, 2019
SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Computational and Structural Biotechnology Journal
|
November 15, 2018
iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Journal of Biomedicine & Biotechnology
|
March 21, 2008
Characterization of phototransduction gene knockouts revealed important signaling networks in the light-induced retinal degeneration
Jayalakshmi Krishnan, Gwang Lee, Sang-Uk Han, et al.
BMC Structural Biology
|
January 14, 2010
Molecular modeling of the reductase domain to elucidate the reaction mechanism of reduction of peptidyl thioester into its corresponding alcohol in non-ribosomal peptide synthetases
Balachandran Manavalan, Senthil K Murugapiran, Gwang Lee, et al.
Biomolecules
|
June 2, 2021
Mapping the Intramolecular Communications among Different Glutamate Dehydrogenase States Using Molecular Dynamics
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
International Journal of Molecular Sciences
|
April 17, 2019
A Molecular Dynamics Approach to Explore the Intramolecular Signal Transduction of PPAR-α
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Computers in Biology and Medicine
|
October 23, 2024
mHPpred: Accurate identification of peptide hormones using multi-view feature learning
Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Frontiers in Immunology
|
August 16, 2018
PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions
Balachandran Manavalan, Tae Hwan Shin, Myeong Ok Kim, et al.
Journal of Molecular Biology
|
June 6, 2022
THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites
Watshara Shoombuatong, Shaherin Basith, Thejkiran Pitti, et al.
Frontiers in Pharmacology
|
April 12, 2018
AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest
Balachandran Manavalan, Tae H Shin, Myeong O Kim, et al.
Page
of 17