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Alpha Tom Kodamullil
Researcher at Fraunhofer Society
Publications - 49
Citations - 614
Alpha Tom Kodamullil is an academic researcher from Fraunhofer Society. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 13, co-authored 36 publications receiving 361 citations. Previous affiliations of Alpha Tom Kodamullil include Center for Information Technology & University of Bonn.
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COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
Daniel Domingo-Fernández,Shounak Baksi,Bruce T. Schultz,Yojana Gadiya,Yojana Gadiya,Reagon Karki,Reagon Karki,Tamara Raschka,Tamara Raschka,Christian Ebeling,Martin Hofmann-Apitius,Martin Hofmann-Apitius,Alpha Tom Kodamullil,Alpha Tom Kodamullil +13 more
TL;DR: The COVID-19 Knowledge Graph is presented, an expansive cause-and-effect network constructed from scientific literature on the new coronavirus that aims to provide a comprehensive view of its pathophysiology.
Journal ArticleDOI
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology.
Daniel Domingo-Fernández,Shounak Baksi,Bruce T. Schultz,Yojana Gadiya,Yojana Gadiya,Reagon Karki,Reagon Karki,Tamara Raschka,Tamara Raschka,Christian Ebeling,Martin Hofmann-Apitius,Martin Hofmann-Apitius,Alpha Tom Kodamullil,Alpha Tom Kodamullil +13 more
TL;DR: The COVID-19 Knowledge Graph is presented, an expansive cause-and-effect network constructed from scientific literature on the new coronavirus that aims to provide a comprehensive view of its pathophysiology.
Journal ArticleDOI
Computable cause-and-effect models of healthy and Alzheimer's disease states and their mechanistic differential analysis
Alpha Tom Kodamullil,Alpha Tom Kodamullil,Erfan Younesi,Mufassra Naz,Mufassra Naz,Shweta Bagewadi,Shweta Bagewadi,Martin Hofmann-Apitius,Martin Hofmann-Apitius +8 more
TL;DR: A model‐driven approach supporting the systematic identification of putative disease mechanisms is proposed supporting the discovery and development of new treatments for Alzheimer's disease.
Journal ArticleDOI
Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative Disorders.
Martin Hofmann-Apitius,Martin Hofmann-Apitius,Gordon Ball,Gordon Ball,Stephan Gebel,Shweta Bagewadi,Bernard de Bono,Bernard de Bono,Reinhard Schneider,Matt Page,Alpha Tom Kodamullil,Erfan Younesi,Christian Ebeling,Jesper Tegnér,Jesper Tegnér,Luc Canard +15 more
TL;DR: It is concluded, that progress would be accelerated by increasing efforts on performing systematic collection of multiple data-types over time from each individual suffering from neurodegenerative disease.
Journal ArticleDOI
Comorbidity Analysis between Alzheimer's Disease and Type 2 Diabetes Mellitus (T2DM) Based on Shared Pathways and the Role of T2DM Drugs.
Reagon Karki,Reagon Karki,Alpha Tom Kodamullil,Alpha Tom Kodamullil,Martin Hofmann-Apitius,Martin Hofmann-Apitius +5 more
TL;DR: This study aims to systematically model relevant knowledge at the molecular level to find a mechanistic rationale explaining the existing comorbid association between Alzheimer’s disease and type 2 diabetes mellitus, and builds two network models for AD and T2DM using Biological Expression Language (BEL).