Yojana Gadiya

According to our database, Yojana Gadiya authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Experimental and machine learning-based exploration of repurposed drugs reveals chemical features underlying phospholipidosis.

Maria Kuzikov, Adelinn Kalman, Reagon Karki, Jeanette Reinshagen, Johanna Huchting, Kun Qian, Hanna Axelsson, Marianna Tampere, Päivi Östling, Brinton Seashore-Ludlow, Yojana Gadiya, Philip Gribbon, Andrea Zaliani

Patterns, 2026

pyBiodatafuse: extending interoperability of data using modular queries across biomedical resources.

Yojana Gadiya, Javier Millán Acosta, Ammar Ammar, Alejandro Adriaque Lozano, Delano Wetstede, Dominik Martinát, Ana Claudia Sima, Hailiang Mei, Egon L. Willighagen, Tooba Abbassi-Daloii

Bioinform., 2026

2025

Predicting Antimicrobial Class Specificity of Small Molecules Using Machine Learning.

Yojana Gadiya, Olga Genilloud, Ursula Bilitewski, Mark Brönstrup, Leonie von Berlin, Marie Attwood, Philip Gribbon, Andrea Zaliani

J. Chem. Inf. Model., 2025

KGG: a fully automated workflow for creating disease-specific knowledge graphs.

Reagon Karki, Yojana Gadiya, Andrea Zaliani, Bishab Pokharel, Negin Sadat Babaiha, Marek Ostaszewski, Martin Hofmann-Apitius, Philip Gribbon

Bioinform., 2025

From library to landscape: integrative annotation workflows for compound libraries in drug repurposing.

Jeanette Reinshagen, Brinton Seashore-Ludlow, Yojana Gadiya, Anna-Lena Gustavsson, ZiaurRehman Tanoli, Tero Aittokallio, Johanna Huchting, Annika Jenmalm-Jensen, Philip Gribbon, Andrea Zaliani, Flavio Ballante

Database J. Biol. Databases Curation, 2025

Extended RDF support for Biomedical Knowledge Graphs in pyBioDataFuse: on-the-fly RDF graph generation and new resource annotators.

Javier Millán Acosta, Egon L. Willighagen, Yojana Gadiya, Tooba Abbassi-Daloii

Proceedings of the 16th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2025), 2025

2024

Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk.

Sepehr Golriz Khatami, Astghik Sargsyan, Maria Francesca Russo, Daniel Domingo-Fernández, Andrea Zaliani, Abish Kaladharan, Priya Sethumadhavan, Sarah Mubeen, Yojana Gadiya, Reagon Karki, Stephan Gebel, Ram Kumar Ruppa Surulinathan, Vanessa Lage-Rupprecht, Saulius Archipovas, Geltrude Mingrone, Marc Jacobs, Carsten Claussen, Martin Hofmann-Apitius, Alpha Tom Kodamullil

Data, 2024

MARS: A neurosymbolic approach for interpretable drug discovery.

Lauren Nicole Delong, Yojana Gadiya, Paola Galdi, Jacques D. Fleuriot, Daniel Domingo-Fernández

CoRR, 2024

BioDataFuse: Enhancing data interoperability through modular queries and knowledge graph construction.

Tooba Abbassi-Daloii, Yojana Gadiya, Ammar Ammar, Egon L. Willighagen, Ana Claudia Sima, Hasan Balci

Proceedings of the 15th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2024

2023

Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions.

Daniel Domingo-Fernández, Yojana Gadiya, Sarah Mubeen, David Healey, Bryan H. Norman, Viswa Teja S. S. Colluru

J. Cheminformatics, December, 2023

PEMT: a patent enrichment tool for drug discovery.

Yojana Gadiya, Andrea Zaliani, Philip Gribbon, Martin Hofmann-Apitius

Bioinform., January, 2023

2022

Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery.

Daniel Domingo-Fernández, Yojana Gadiya, Abhishek Patel, Sarah Mubeen, Daniel Rivas-Barragan, Chris W. Diana, Biswapriya B. Misra, David Healey, John C. Rokicki, Viswa Teja S. S. Colluru

PLoS Comput. Biol., 2022

SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data.

Takoua Khorchani, Yojana Gadiya, Gesa Witt, Delia Lanzillotta, Carsten Claussen, Andrea Zaliani

Patterns, 2022

Ensembles of knowledge graph embedding models improve predictions for drug discovery.

Daniel Rivas-Barragan, Daniel Domingo-Fernández, Yojana Gadiya, David Healey

Briefings Bioinform., 2022

2021

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology.

Daniel Domingo-Fernández, Shounak Baksi, Bruce Schultz, Yojana Gadiya, Reagon Karki, Tamara Raschka, Christian Ebeling, Martin Hofmann-Apitius, Alpha Tom Kodamullil

Bioinform., 2021