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Reagon Karki
Reagon Karki
Fraunhofer ITMP
Bestätigte E-Mail-Adresse bei itmp.fraunhofer.de
Titel
Zitiert von
Zitiert von
Jahr
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
D Domingo-Fernández, S Baksi, B Schultz, Y Gadiya, R Karki, T Raschka, ...
Bioinformatics 37 (9), 1332-1334, 2021
1142021
Comorbidity analysis between Alzheimer’s disease and type 2 diabetes mellitus (T2DM) based on shared pathways and the role of T2DM drugs
R Karki, M Hofmann-Apitius
Journal of Alzheimer's Disease 60 (2), 721-731, 2017
582017
Deep learning for clustering of multivariate clinical patient trajectories with missing values
J de Jong, MA Emon, P Wu, R Karki, M Sood, P Godard, A Ahmad, ...
GigaScience 8 (11), giz134, 2019
452019
Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment
D Domingo-Fernández, AT Kodamullil, A Iyappan, M Naz, MA Emon, ...
Bioinformatics 33 (22), 3679-3681, 2017
422017
Training and evaluation corpora for the extraction of causal relationships encoded in biological expression language (BEL)
J Fluck, S Madan, S Ansari, AT Kodamullil, R Karki, M Rastegar-Mojarad, ...
Database 2016, baw113, 2016
332016
Of mice and men: comparative analysis of neuro-inflammatory mechanisms in human and mouse using cause-and-effect models
A Iyappan, R Karki, S Madan, E Younesi, M Hofmann-Apitius
Journal of Alzheimer's Disease 59 (3), 1045-1055, 2017
202017
Using drugs as molecular probes: a computational chemical biology approach in neurodegenerative diseases
MAEK Emon, R Karki, E Younesi, M Hofmann-Apitius
Journal of Alzheimer's Disease 56 (2), 677-686, 2017
182017
A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization
B Schultz, A Zaliani, C Ebeling, J Reinshagen, D Bojkova, ...
Scientific reports 11 (1), 11049, 2021
122021
Data-driven modeling of knowledge assemblies in understanding comorbidity between type 2 diabetes mellitus and Alzheimer’s Disease
R Karki, S Madan, Y Gadiya, D Domingo-Fernández, M Hofmann-Apitius
Journal of Alzheimer's Disease 78 (1), 87-95, 2020
122020
Comprehensive fragment screening of the SARS‐CoV‐2 proteome explores novel chemical space for drug development
H Berg, MA Wirtz Martin, N Altincekic, I Alshamleh, J Kaur Bains, ...
Angewandte Chemie International Edition 61 (46), e202205858, 2022
112022
Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encoders
M Sood, A Sahay, R Karki, MA Emon, H Vrooman, M Hofmann-Apitius, ...
Scientific reports 10 (1), 10971, 2020
72020
The COVID-19 PHARMACOME: A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization
B Schultz, A Zaliani, C Ebeling, J Reinshagen, D Bojkova, ...
bioRxiv, 2020.09. 23.308239, 2020
42020
Pharmacophore-Based Machine Learning Model To Predict Ligand Selectivity for E3 Ligase Binders
R Karki, Y Gadiya, P Gribbon, A Zaliani
ACS omega 8 (33), 30177-30185, 2023
32023
Quantifying mechanisms in neurodegenerative diseases (NDDs) using candidate mechanism perturbation amplitude (CMPA) algorithm
R Karki, AT Kodamullil, CT Hoyt, M Hofmann-Apitius
BMC bioinformatics 20, 1-8, 2019
32019
Mpox Knowledge Graph: a comprehensive representation embedding chemical entities and associated biology of Mpox
R Karki, Y Gadiya, A Zaliani, P Gribbon
Bioinformatics Advances 3 (1), vbad045, 2023
22023
A systems biology approach for hypothesizing the effect of genetic variants on neuroimaging features in Alzheimer’s disease
S Golriz Khatami, D Domingo-Fernandez, S Mubeen, CT Hoyt, ...
Journal of Alzheimer's Disease 80 (2), 831-840, 2021
22021
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology (preprint)
D Domingo-Fernandez, S Baksi, BT Schultz, Y Gadiya, R Karki, ...
12020
Curating, collecting, and cataloguing global COVID-19 datasets for the aim of predicting personalized risk
SG Khatami, A Sargsyan, MF Russo, D Domingo-Fernández, A Zaliani, ...
Data 9 (2), 25, 2024
2024
Pharmacophore-based ML model to filter candidate E3 ligands and predict E3 Ligase binding probabilities
R Karki, Y Gadiya, S Shetty, P Gribbon, A Zaliani
Informatics in Medicine Unlocked 44, 101424, 2024
2024
Open Imaging Data Sharing in EOSC: COVID-19 as Demonstrator
R Karki, A Zaliani, P Gribbon, C Simon, JR Macias, B Özdemir, A Mathur
ARPHA Preprints 4, e116672, 2023
2023
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