User profiles for Yojana Gadiya
 | Yojana GadiyaData Scientist at Fraunhofer ITMP Verified email at itmp.fraunhofer.de Cited by 269 |
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
The COVID-19 crisis has elicited a global response by the scientific community that has led
to a burst of publications on the pathophysiology of the virus. However, without coordinated …
to a burst of publications on the pathophysiology of the virus. However, without coordinated …
[HTML][HTML] The FAIR Cookbook-the essential resource for and by FAIR doers
The notion that data should be Findable, Accessible, Interoperable and Reusable, according
to the FAIR Principles, has become a global norm for good data stewardship and a …
to the FAIR Principles, has become a global norm for good data stewardship and a …
[HTML][HTML] FAIR in action-a flexible framework to guide FAIRification
…, W Gu, J Strubel, RT Giessmann, I Emam, Y Gadiya… - Scientific data, 2023 - nature.com
The COVID-19 pandemic has highlighted the need for FAIR (Findable, Accessible, Interoperable,
and Reusable) data more than any other scientific challenge to date. We developed a …
and Reusable) data more than any other scientific challenge to date. We developed a …
[PDF][PDF] Modern drug discovery using ethnobotany: a large-scale cross-cultural analysis of traditional medicine reveals common therapeutic uses
For millennia, numerous cultures and civilizations have relied on traditional remedies
derived from plants to treat a wide range of conditions and ailments. Here, we systematically …
derived from plants to treat a wide range of conditions and ailments. Here, we systematically …
Comprehensive fragment screening of the SARS‐CoV‐2 proteome explores novel chemical space for drug development
SARS‐CoV‐2 (SCoV2) and its variants of concern pose serious challenges to the public
health. The variants increased challenges to vaccines, thus necessitating for development of …
health. The variants increased challenges to vaccines, thus necessitating for development of …
Pharmacophore-Based Machine Learning Model To Predict Ligand Selectivity for E3 Ligase Binders
E3 ligases are enzymes that play a critical role in ubiquitin-mediated protein degradation and
are involved in various cellular processes. Pharmacophore analysis is a useful approach …
are involved in various cellular processes. Pharmacophore analysis is a useful approach …
[HTML][HTML] Linking COVID-19 and heme-driven pathophysiologies: A combined computational–experimental approach
The SARS-CoV-2 outbreak was declared a worldwide pandemic in 2020. Infection triggers
the respiratory tract disease COVID-19, which is accompanied by serious changes in clinical …
the respiratory tract disease COVID-19, which is accompanied by serious changes in clinical …
Ensembles of knowledge graph embedding models improve predictions for drug discovery
…, D Domingo-Fernández, Y Gadiya… - Briefings in …, 2022 - academic.oup.com
… Daniel Rivas-Barragan, Daniel Domingo-Fernández and Yojana Gadiya authors …
Yojana Gadiya is a researcher specialized in data science and data mining, particularly using …
Yojana Gadiya is a researcher specialized in data science and data mining, particularly using …
[HTML][HTML] Selection of data sets for FAIRification in drug discovery and development: Which, why, and how?
Despite the intuitive value of adopting the Findable, Accessible, Interoperable, and Reusable
(FAIR) principles in both academic and industrial sectors, challenges exist in resourcing, …
(FAIR) principles in both academic and industrial sectors, challenges exist in resourcing, …
PEMT: a patent enrichment tool for drug discovery
Motivation Drug discovery practitioners in industry and academia use semantic tools to
extract information from online scientific literature to generate new insights into targets, …
extract information from online scientific literature to generate new insights into targets, …