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Biology and Biochemistry

D-Index
66
Citations
16169
World Ranking
8643
National Ranking
35

Overview

M. Michael Gromiha is affiliated with the Indian Institute of Technology Madras in India. Their research predominantly spans the fields of Biochemistry, Genetics and Molecular Biology, with 224 publications, and Medicine, with 68 contributions. Within these areas, they focus significantly on subfields such as Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Genetics, and Radiology, Nuclear Medicine and Imaging.

The scientist's main topics of research include Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Machine Learning in Bioinformatics, Computational Drug Discovery Methods, SARS-CoV-2 and COVID-19 Research, Glycosylation and Glycoproteins Research, as well as Enzyme Structure and Function. These topics are reflected in the frequent venues where their work is published, such as Briefings in Bioinformatics, Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, Genes, and Journal of Biomolecular Structure and Dynamics.

Among recent publications, notable papers are:

  • Computational studies of drug repurposing and synergism of lopinavir, oseltamivir and ritonavir binding with SARS-CoV-2 protease against COVID-19 (2020, Journal of Biomolecular Structure and Dynamics)
  • COVID-19 outbreak: history, mechanism, transmission, structural studies and therapeutics (2020, Infection)
  • Neurodegenerative Diseases - Is Metabolic Deficiency the Root Cause? (2020, Frontiers in Neuroscience)
  • ProThermDB: thermodynamic database for proteins and mutants revisited after 15 years (2020, Nucleic Acids Research)
  • Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19 (2020, Computers in Biology and Medicine)

Frequent co-authors collaborating with M. Michael Gromiha include A. Kulandaisamy, Puneet Rawat, K. Harini, Divya Sharma, and Sowmya Ramaswamy Krishnan. These collaborations are evident from repeated joint publications, indicating ongoing research partnerships.

They have also published a book titled Protein Mutations in 2024, under the World Scientific publisher.

Best Publications

  • CUPSAT: prediction of protein stability upon point mutations

    Vijaya Parthiban;M. Michael Gromiha;Dietmar Schomburg

  • ProTherm and ProNIT: thermodynamic databases for proteins and protein–nucleic acid interactions

    M. D. Shaji Kumar;K. Abdulla Bava;M. Michael Gromiha;Ponraj Prabakaran

  • ProTherm, version 4.0: thermodynamic database for proteins and mutants

    K. Abdulla Bava;M. Michael Gromiha;Hatsuho Uedaira;Koji Kitajima

  • Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information

    Shandar Ahmad;M. Michael Gromiha;Akinori Sarai

  • Computational studies of drug repurposing and synergism of lopinavir, oseltamivir and ritonavir binding with SARS-CoV-2 protease against COVID-19.

    Nisha Muralidharan;R. Sakthivel;D. Velmurugan;M. Michael Gromiha

  • Comparison between long-range interactions and contact order in determining the folding rate of two-state proteins: application of long-range order to folding rate prediction.

    M.Michael Gromiha;S Selvaraj

  • Inter-residue interactions in protein folding and stability.

    M.Michael Gromiha;S. Selvaraj

  • Prediction of RNA binding sites in a protein using SVM and PSSM profile

    Manish Kumar;M. Michael Gromiha;G. P. S. Raghava

  • ASAView : Database and tool for solvent accessibility representation in proteins

    Shandar Ahmad;M. Michael Gromiha;Hamed Fawareh;Akinori Sarai

  • Identification of DNA-binding proteins using support vector machines and evolutionary profiles

    Manish Kumar;M. Michael Gromiha;Gajendra P. S. Raghava

  • Important amino acid properties for enhanced thermostability from mesophilic to thermophilic proteins.

    M.Michael Gromiha;Motohisa Oobatake;Akinori Sarai

  • Real value prediction of solvent accessibility from amino acid sequence.

    Shandar Ahmad;M. Michael Gromiha;Akinori Sarai

  • COVID-19 outbreak: history, mechanism, transmission, structural studies and therapeutics

    Dhanusha Yesudhas;Ambuj Srivastava;M. Michael Gromiha;M. Michael Gromiha

  • iPTREE-STAB

    Liang-Tsung Huang;M. Michael Gromiha;Shinn-Ying Ho

  • FOLD-RATE: prediction of protein folding rates from amino acid sequence.

    M. Michael Gromiha;A. Mary Thangakani;Samuel Selvaraj

  • Neurodegenerative Diseases - Is Metabolic Deficiency the Root Cause?

    Vignayanandam Ravindernath Muddapu;S. Akila Parvathy Dharshini;V. Srinivasa Chakravarthy;M. Michael Gromiha

  • ProTherm: Thermodynamic Database for Proteins and Mutants

    M. Michael Gromiha;Jianghong An;Hidetoshi Kono;Motohisa Oobatake

  • Role of structural and sequence information in the prediction of protein stability changes: comparison between buried and partially buried mutations

    M.Michael Gromiha;Motohisa Oobatake;Hidetoshi Kono;Hatsuho Uedaira

  • Intermolecular and intramolecular readout mechanisms in protein-DNA recognition.

    M. Michael Gromiha;Jörg G. Siebers;Samuel Selvaraj;Hidetoshi Kono

  • ProThermDB: thermodynamic database for proteins and mutants revisited after 15 years.

    Rahul Nikam;A Kulandaisamy;K Harini;Divya Sharma

Frequent Co-Authors

Akinori Sarai
Akinori Sarai Kyushu Institute of Technology
De-Shuang Huang
De-Shuang Huang Tongji University
Dmitrij Frishman
Dmitrij Frishman Technical University of Munich
Gajendra P. S. Raghava
Gajendra P. S. Raghava Indraprastha Institute of Information Technology Delhi
Sándor Pongor
Sándor Pongor Pázmány Péter Catholic University
István Simon
István Simon Hungarian Academy of Sciences
Dietmar Schomburg
Dietmar Schomburg Technische Universität Braunschweig
Shinn-Ying Ho
Shinn-Ying Ho National Yang Ming Chiao Tung University
Jean-Claude Dujardin
Jean-Claude Dujardin Institute of Tropical Medicine Antwerp
M. Madan Babu
M. Madan Babu St. Jude Children's Research Hospital

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