WITHDRAWN: Physiological modeling and biomechanical insights of cytokine modulation in COVID-19 and pulmonary fibrosis through a multi-dimensional graph-based approach
Ray, R.; Bhowmik, R.; Shyamal, S. S.; Manaithiya, A.; Gong, W.; Parkkila, S.; Aspatwar, A.
Show abstract
Withdrawal StatementThe authors have withdrawn their manuscript owing to the inability to complete the revisions or follow up on the manuscript at this time, due to personal circumstances. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- ChAlPred: A Web Server for Prediction of Allergenicity of Chemical Compounds 95%
- Combining Multi-Dimensional Molecular Fingerprints to Predict hERG Cardiotoxicity of Compounds 94%
- In Silico Identification of Potential Inhibitors of Mycobacterium tuberculosis DNA Gyrase from Phytoconstituents of Indian Medicinal Plants 94%
Similar papers in this journal
- Identification of Natural Antiviral Drug Candidates Against Tilapia Lake Virus: Computational Drug Design Approaches 95%
- Exploring NCATS In-House Biomedical Data for Evidence-based Drug Repurposing 95%
- Deep learning based predictive modeling to screen natural compounds against TNF-alpha for the potential management of Rheumatoid Arthritis: Virtual screening to comprehensive in silico investigation 94%
Similar papers in this journal
- Machine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy 95%
- PeruNPDB: The Peruvian Natural Products Database for in silico drug screening 95%
- A new strategy for identifying mechanisms of drug-drug interaction using transcriptome analysis: Compound Kushen injection as a proof of principle 95%
Similar papers in this journal
- DenovoProfiling: a webserver for de novo generated molecule library profiling 94%
- Drug repositoning or target repositioning: a structural perspective of drug-target-indication relationship for available repurposed drugs. 94%
- ccTCM: a quantitative component and compound platform for promoting the research of traditional Chinese medicine 93%
Similar papers in this journal
- Protein Domain-Based Prediction of Compound-Target Interactions and Experimental Validation on LIM Kinases 95%
- Predicting Meridian in Chinese Traditional Medicine Using Machine Learning Approaches 94%
- Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.