Meenal Chaudhari

Biochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction”.

DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction

BMC Bioinformatics(2020)10.1186/s12859-020-3342-z

N/A

0DataRank · unranked

69 citations

Meenal Chaudhari, Sean McManus, Kaushik Roy, Robert H. Newman, Hiroto Saigo +2 more

DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins

Molecular Omics(2020)10.1039/d0mo00025f

N/A

0DataRank · unranked

38 citations

Niraj Thapa, Kaushik Roy, Robert H. Newman, Hiroto Saigo, Dukka B. KC +1 more

Leveraging high-throughput screening data and conditional generative adversarial networks to advance predictive toxicology

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.02.322917

N/A

0DataRank · unranked

1 citations

Martin J. Mohlenkamp, Jhuma Das, Meenal Chaudhari, Lisa Truong, Robyn L. Tanguay +2 more

Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology

PLoS Computational Biology(2021)10.1371/journal.pcbi.1009135

N/A

0DataRank · unranked

44 citations

Martin J. Mohlenkamp, Jhuma Das, Meenal Chaudhari, Lisa Truong, Robert L. Tanguay +2 more

DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites

Frontiers in Cell and Developmental Biology(2021)10.3389/fcell.2021.662983

N/A

0DataRank · unranked

18 citations

Niraj Thapa, Hamid D. Ismail, Sandhya Chopade, Doina Caragea, Maja Köhn +3 more

A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites

Scientific Reports(2021)10.1038/s41598-021-91840-w

N/A

0DataRank · unranked

15 citations

Meenal Chaudhari, Anthony A. Iannetta, Clarence White, Kaushik Roy, Robert H. Newman +3 more

Chlamy-EnPhosSite: A deep learning-based approach for Chlamydomonas reinhardtii-specific phosphorylation site prediction

Research Square(2021)10.21203/rs.3.rs-286990/v1

N/A

0DataRank · unranked

2 citations

Meenal Chaudhari, Anthony A. Iannetta, Clarence White, Kaushik Roy, Robert H. Newman +3 more

Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies

Current Opinion in Plant Biology(2022)10.1016/j.pbi.2022.102326

N/A

0DataRank · unranked

31 citations

Max Gordon, Meenal Chaudhari, Ib Thorsgaard Jensen, Turgut Akyol, Stig Uggerhøj Andersen +2 more

Hydrogen peroxide-dependent oxidation of ERK2 within its D-recruitment site alters its substrate selection

iScience(2023)10.1016/j.isci.2023.107817

N/A

0DataRank · unranked

9 citations

Laquaundra L. Adams, Ese Ekhator, Anuoluwapo E. Odelade, Supriya Patwardhan, Meenal Chaudhari +19 more