Sugunadevi Sakkiah Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

National Center for Toxicological Research

faculty

29 h-index 81 pubs 2,866 cited

Research Areas

SARS-CoV-2 and COVID-19 Research Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Protein Structure and Dynamics Nanoparticles: synthesis and applications Bioinformatics and Genomic Networks Computational Drug Discovery Methods

Links

ORCID

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OverviewAI-generated summary

Sugunadevi Sakkiah's research focuses on the application of computational methods, including machine learning and molecular dynamics simulations, to understand biological processes and predict toxicological outcomes. Her work has investigated the interactions of SARS-CoV-2 with human cells, explored the properties and risk assessment of nanomaterials, and examined the effects of BPA replacement compounds. Sakkiah has also applied computational techniques to elucidate drug binding patterns and predict liver toxicity. Her scholarship includes 81 publications and has garnered over 2,800 citations, contributing to her h-index of 29.

Sakkiah collaborates with several researchers at the National Center for Toxicological Research, including Tucker A. Patterson, Wenjing Guo, Bohu Pan, and Weigong Ge, with whom she has co-authored multiple publications. Her recent work has explored the development of machine learning models for predicting cytotoxicity and liver toxicity, as well as investigating the dynamics of protein interactions relevant to viral entry and drug development.

Metrics

  • h-index: 29
  • Publications: 81
  • Citations: 2,866

Selected Publications

  • Mold2 Descriptors Facilitate Development of Machine Learning and Deep Learning Models for Predicting Toxicity of Chemicals (2023) DOI
  • Editorial: Novel Therapeutic Interventions Against Infectious Diseases: COVID-19 (2022) DOI
  • Machine Learning Models for Predicting Liver Toxicity (2022) DOI
  • Machine Learning Models for Predicting Cytotoxicity of Nanomaterials (2022) DOI
  • Elucidation of Agonist and Antagonist Dynamic Binding Patterns in ER-α by Integration of Molecular Docking, Molecular Dynamics Simulations and Quantum Mechanical Calculations (2021) DOI
  • Informing selection of drugs for COVID-19 treatment through adverse events analysis (2021) DOI
  • Nanomaterial Databases: Data Sources for Promoting Design and Risk Assessment of Nanomaterials (2021) DOI
  • Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences (2021) DOI
  • BPA Replacement Compounds: Current Status and Perspectives (2021) DOI
  • Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations (2021) DOI

Collaborators

Researchers in the database who share publications

Tucker A. Patterson National Center for Toxicological Research 8 shared publications Wenjing Guo National Center for Toxicological Research 7 shared publications Bohu Pan National Center for Toxicological Research 3 shared publications Weigong Ge National Center for Toxicological Research 2 shared publications Marli S. P. Azevedo National Center for Toxicological Research 1 shared publication Wen Zou National Center for Toxicological Research 1 shared publication Weida Tong National Center for Toxicological Research 1 shared publication Minjun Chen National Center for Toxicological Research 1 shared publication

Similar Researchers

Based on overlapping research topics

Wenjing Guo National Center for Toxicological Research
SARS-CoV-2 and COVID-19 Research Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications
Strong match 6 shared topics
James Losey University of Arkansas at Fayetteville
SARS-CoV-2 and COVID-19 Research Protein Structure and Dynamics Nanoparticles: synthesis and applications
Good match 5 shared topics
Ann Varghese National Center for Toxicological Research
SARS-CoV-2 and COVID-19 Research Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications
Good match 5 shared topics
Tucker A. Patterson National Center for Toxicological Research
SARS-CoV-2 and COVID-19 Research Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications
Good match 5 shared topics
Roland N. Njabon University of Arkansas at Fayetteville
Advanced Neural Network Applications Protein Structure and Dynamics Bioinformatics and Genomic Networks
Good match 4 shared topics
Albrey Berber University of Arkansas for Medical Sciences
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Protein Structure and Dynamics
Good match 4 shared topics