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Reagon Karki

Showing results (1-10 of 17) with videos related to

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ACS Omega|August 28, 2023
Pharmacophore-Based Machine Learning Model To Predict Ligand Selectivity for E3 Ligase BindersReagon Karki, Yojana Gadiya, Philip Gribbon, et al.
Bioinformatics Advances|May 15, 2023
Mpox Knowledge Graph: a comprehensive representation embedding chemical entities and associated biology of MpoxReagon Karki, Yojana Gadiya, Andrea Zaliani, et al.
Journal of Alzheimer'S Disease : JAD|September 19, 2017
Comorbidity Analysis between Alzheimer's Disease and Type 2 Diabetes Mellitus (T2DM) Based on Shared Pathways and the Role of T2DM DrugsReagon Karki, Alpha Tom Kodamullil, Martin Hofmann-Apitius
BMC Bioinformatics|October 13, 2019
Quantifying mechanisms in neurodegenerative diseases (NDDs) using candidate mechanism perturbation amplitude (CMPA) algorithmReagon Karki, Alpha Tom Kodamullil, Charles Tapley Hoyt, et al.
Journal of Alzheimer'S Disease : JAD|July 22, 2017
Of Mice and Men: Comparative Analysis of Neuro-Inflammatory Mechanisms in Human and Mouse Using Cause-and-Effect ModelsAlpha Tom Kodamullil, Anandhi Iyappan, Reagon Karki, et al.
Journal of Alzheimer'S Disease : JAD|December 31, 2016
Using Drugs as Molecular Probes: A Computational Chemical Biology Approach in Neurodegenerative DiseasesMohammad Asif Emran Khan Emon, Alpha Tom Kodamullil, Reagon Karki, et al.
Journal of Alzheimer'S Disease : JAD|September 14, 2020
Data-Driven Modeling of Knowledge Assemblies in Understanding Comorbidity Between Type 2 Diabetes Mellitus and Alzheimer's DiseaseReagon Karki, Sumit Madan, Yojana Gadiya, et al.
Scientific Reports|July 5, 2020
Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encodersMeemansa Sood, Akrishta Sahay, Reagon Karki, et al.
Bioinformatics (Oxford, England)|June 28, 2025
KGG: a fully automated workflow for creating disease-specific knowledge graphsReagon Karki, Yojana Gadiya, Andrea Zaliani, et al.
Bioinformatics (Oxford, England)|September 25, 2020
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiologyDaniel Domingo-Fernández, Shounak Baksi, Bruce Schultz, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
ACS Omega|August 28, 2023
Pharmacophore-Based Machine Learning Model To Predict Ligand Selectivity for E3 Ligase BindersReagon Karki, Yojana Gadiya, Philip Gribbon, et al.
Bioinformatics Advances|May 15, 2023
Mpox Knowledge Graph: a comprehensive representation embedding chemical entities and associated biology of MpoxReagon Karki, Yojana Gadiya, Andrea Zaliani, et al.
Journal of Alzheimer'S Disease : JAD|September 19, 2017
Comorbidity Analysis between Alzheimer's Disease and Type 2 Diabetes Mellitus (T2DM) Based on Shared Pathways and the Role of T2DM DrugsReagon Karki, Alpha Tom Kodamullil, Martin Hofmann-Apitius
BMC Bioinformatics|October 13, 2019
Quantifying mechanisms in neurodegenerative diseases (NDDs) using candidate mechanism perturbation amplitude (CMPA) algorithmReagon Karki, Alpha Tom Kodamullil, Charles Tapley Hoyt, et al.
Journal of Alzheimer'S Disease : JAD|July 22, 2017
Of Mice and Men: Comparative Analysis of Neuro-Inflammatory Mechanisms in Human and Mouse Using Cause-and-Effect ModelsAlpha Tom Kodamullil, Anandhi Iyappan, Reagon Karki, et al.
Journal of Alzheimer'S Disease : JAD|December 31, 2016
Using Drugs as Molecular Probes: A Computational Chemical Biology Approach in Neurodegenerative DiseasesMohammad Asif Emran Khan Emon, Alpha Tom Kodamullil, Reagon Karki, et al.
Journal of Alzheimer'S Disease : JAD|September 14, 2020
Data-Driven Modeling of Knowledge Assemblies in Understanding Comorbidity Between Type 2 Diabetes Mellitus and Alzheimer's DiseaseReagon Karki, Sumit Madan, Yojana Gadiya, et al.
Scientific Reports|July 5, 2020
Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encodersMeemansa Sood, Akrishta Sahay, Reagon Karki, et al.
Bioinformatics (Oxford, England)|June 28, 2025
KGG: a fully automated workflow for creating disease-specific knowledge graphsReagon Karki, Yojana Gadiya, Andrea Zaliani, et al.
Bioinformatics (Oxford, England)|September 25, 2020
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiologyDaniel Domingo-Fernández, Shounak Baksi, Bruce Schultz, et al.
Pageof 2