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Sherlyn Jemimah

Showing results (1-10 of 21) with videos related to

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BMC Medical Genomics|October 13, 2023
c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's diseaseSherlyn Jemimah, Aamna AlShehhi,
Proteins|February 1, 2018
Exploring additivity effects of double mutations on the binding affinity of protein-protein complexesSherlyn Jemimah, M Michael Gromiha
Computers in Biology and Medicine|August 10, 2020
Insights into changes in binding affinity caused by disease mutations in protein-protein complexesSherlyn Jemimah, M Michael Gromiha
Plos One|April 14, 2025
c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's diseaseSherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi
Medrxiv : the Preprint Server for Health Sciences|November 28, 2024
c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's diseaseSherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi
Current Opinion in Structural Biology|November 21, 2016
Protein-protein interactions: scoring schemes and binding affinityM Michael Gromiha, K Yugandhar, Sherlyn Jemimah
Bioinformatics (Oxford, England)|May 8, 2024
DeepPPAPredMut: deep ensemble method for predicting the binding affinity change in protein-protein complexes upon mutationRahul Nikam, Sherlyn Jemimah, M Michael Gromiha
Bioinformatics (Oxford, England)|November 13, 2019
ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein-protein complexes upon mutation using functional classificationSherlyn Jemimah, Masakazu Sekijima, M Michael Gromiha
Bioinformatics (Oxford, England)|May 13, 2017
PROXiMATE: a database of mutant protein-protein complex thermodynamics and kineticsSherlyn Jemimah, K Yugandhar, M Michael Gromiha
Scientific Reports|August 30, 2024
Author Correction: Predicting early Alzheimer's with blood biomarkers and clinical featuresMuaath Ebrahim AlMansoori, Sherlyn Jemimah, Ferial Abuhantash, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
BMC Medical Genomics|October 13, 2023
c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's diseaseSherlyn Jemimah, Aamna AlShehhi,
Proteins|February 1, 2018
Exploring additivity effects of double mutations on the binding affinity of protein-protein complexesSherlyn Jemimah, M Michael Gromiha
Computers in Biology and Medicine|August 10, 2020
Insights into changes in binding affinity caused by disease mutations in protein-protein complexesSherlyn Jemimah, M Michael Gromiha
Plos One|April 14, 2025
c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's diseaseSherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi
Medrxiv : the Preprint Server for Health Sciences|November 28, 2024
c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's diseaseSherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi
Current Opinion in Structural Biology|November 21, 2016
Protein-protein interactions: scoring schemes and binding affinityM Michael Gromiha, K Yugandhar, Sherlyn Jemimah
Bioinformatics (Oxford, England)|May 8, 2024
DeepPPAPredMut: deep ensemble method for predicting the binding affinity change in protein-protein complexes upon mutationRahul Nikam, Sherlyn Jemimah, M Michael Gromiha
Bioinformatics (Oxford, England)|November 13, 2019
ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein-protein complexes upon mutation using functional classificationSherlyn Jemimah, Masakazu Sekijima, M Michael Gromiha
Bioinformatics (Oxford, England)|May 13, 2017
PROXiMATE: a database of mutant protein-protein complex thermodynamics and kineticsSherlyn Jemimah, K Yugandhar, M Michael Gromiha
Scientific Reports|August 30, 2024
Author Correction: Predicting early Alzheimer's with blood biomarkers and clinical featuresMuaath Ebrahim AlMansoori, Sherlyn Jemimah, Ferial Abuhantash, et al.
Pageof 3