Author

Paridhi Latawa

Massachusetts Institute of TechnologyORCID 0000-0001-6670-5546Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:metabolomics· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Brianna ChrismaniD· 1 shared Christian CodeiD· 1 shared Danny B. LangeiD· 1 shared Flemming MorschiD· 1 shared Huram Konjen· 1 shared Iswarya Lalitha Umasankar· 1 shared Jesper WengeliD· 1 shared Lys Sanz MoretaiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 21 mutual co-author links

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1 shared paperSystems Biology

Brianna ChrismanORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 24, 2023

AptaBERT: Predicting aptamer binding interactions

Flemming Morsch, Iswarya Lalitha Umasankar, Lys Sanz Moreta…·Christian Code

AptaBERT predicts aptamer binding interactions with proteins and small molecules, achieving high ROC-AUC scores and outperforming existing models.

6 citations

proteomicsmetabolomics

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Systems BiologybioRxivPreprintNov 8, 2021

A Computational Modeling Framework to Analyze Synovial-Tissue Based Drug Targets and Diagnostic Biomarkers in Rheumatoid Arthritis

Paridhi Latawa, Brianna Chrisman

This study uses computational modeling to identify potential drug targets and diagnostic biomarkers in rheumatoid arthritis by analyzing gene network interactions and pathway perturbations.

1 citation

humanstatistical model

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