M. Michael Gromiha

About M. Michael Gromiha

M. Michael Gromiha, With an exceptional h-index of 61 and a recent h-index of 33 (since 2020), a distinguished researcher at Indian Institute of Technology Madras,

His recent articles reflect a diverse array of research interests and contributions to the field:

CarbDisMut: database on neutral and disease-causing mutations in human carbohydrate-binding proteins

MPA‐Pred: A machine learning approach for predicting the binding affinity of membrane protein–protein complexes

PRA-Pred: Structure-based prediction of protein-RNA binding affinity

Importance of Inter-residue Contacts for Understanding Protein Folding and Unfolding Rates, Remote Homology, and Drug Design

Predicting the immune escape of SARS-CoV-2 neutralizing antibodies upon mutation

Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning

Mechanism of drug resistance in HIV-1 protease subtype C in the presence of Atazanavir

From Code to Cure: The Impact of Artificial Intelligence in Biomedical Applications

M. Michael Gromiha Information

University

Position

___

Citations(all)

14863

Citations(since 2020)

5367

Cited By

11589

hIndex(all)

61

hIndex(since 2020)

33

i10Index(all)

233

i10Index(since 2020)

121

Email

University Profile Page

Indian Institute of Technology Madras

Google Scholar

View Google Scholar Profile

Top articles of M. Michael Gromiha

Title

Journal

Author(s)

Publication Date

CarbDisMut: database on neutral and disease-causing mutations in human carbohydrate-binding proteins

Glycobiology

NR Siva Shanmugam

A Kulandaisamy

K Veluraja

M Michael Gromiha

2024/2/9

MPA‐Pred: A machine learning approach for predicting the binding affinity of membrane protein–protein complexes

Proteins: Structure, Function, and Bioinformatics

Fathima Ridha

M Michael Gromiha

2024/4

PRA-Pred: Structure-based prediction of protein-RNA binding affinity

International Journal of Biological Macromolecules

K Harini

M Sekijima

M Michael Gromiha

2024/2/1

Importance of Inter-residue Contacts for Understanding Protein Folding and Unfolding Rates, Remote Homology, and Drug Design

Balasubramanian Harihar

Konda Mani Saravanan

Michael M Gromiha

Samuel Selvaraj

2024/3/18

Predicting the immune escape of SARS-CoV-2 neutralizing antibodies upon mutation

Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease

Divya Sharma

Puneet Rawat

Victor Greiff

Vani Janakiraman

M Michael Gromiha

2024/2/1

Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning

Briefings in Bioinformatics

Sowmya R Krishnan

Arijit Roy

M Michael Gromiha

2024/3/1

Mechanism of drug resistance in HIV-1 protease subtype C in the presence of Atazanavir

Current Research in Structural Biology

SV Sankaran

Sowmya R Krishnan

Yasien Sayed

M Michael Gromiha

2024/2/20

From Code to Cure: The Impact of Artificial Intelligence in Biomedical Applications

M Michael Gromiha

Palanisamy Preethi

Medha Pandey

2024/2/18

Abstract P52: Combination of 5-fluorouracil and Menadione Exerts Synergistic Effect on Colorectal Cancer Cells by Targeting Wnt/β-catenin Signaling Pathway

Cancer Research

Vidya P Warrier

Sankaran Venkatachalam

Sakthivel Ramasamy

M Michael Gromiha

Devarajan Karunagaran

2024/4/15

TMH Stab-pred: Predicting the stability of α-helical membrane proteins using sequence and structural features

Methods

P Ramakrishna Reddy

A Kulandaisamy

M Michael Gromiha

2023/10/1

Alz-Disc: A Tool to Discriminate Disease-causing and Neutral Mutations in Alzheimer's Disease

Combinatorial Chemistry & High Throughput Screening

A Kulandaisamy

SA Parvathy Dharshini

M Michael Gromiha

2023/4/1

Pairwise and multi-chain protein docking enhanced using LZerD web server

Kannan Harini

Charles Christoffer

M Michael Gromiha

Daisuke Kihara

2023/7/15

DeepBSRPred: Deep learning-based binding site residue prediction for proteins

Amino Acids

Rahul Nikam

Kumar Yugandhar

M Michael Gromiha

2023/10

Identification of Cancer Hotspot Residues and Driver Mutations Using Machine Learning

Medha Pandey

P Anoosha

Dhanusha Yesudhas

M Michael Gromiha

2023

DNA Interactions with Drugs and Other Small Ligands: Single Molecule Approaches and Techniques

Marcio Santos Rocha

2023/3/1

R-SIM: a database of binding affinities for RNA-small molecule interactions

Journal of Molecular Biology

Sowmya Ramaswamy Krishnan

Arijit Roy

M Michael Gromiha

2023/7/15

Investigating neuron degeneration in huntington’s disease using RNA-Seq based transcriptome study

Genes

Nela Pragathi Sneha

S Akila Parvathy Dharshini

Y-h Taguchi

M Michael Gromiha

2023/9/14

In silico evaluation of the impact of Omicron variant of concern sublineage BA. 4 and BA. 5 on the sensitivity of RT‐qPCR assays for SARS‐CoV‐2 detection using whole genome …

Journal of Medical Virology

Divya Sharma

Kin Israel Notarte

Rey Arturo Fernandez

Giuseppe Lippi

M Michael Gromiha

...

2023/1

Understanding Drug Resistance of Wild-Type and L38HL Insertion Mutant of HIV-1 C Protease to Saquinavir

Genes

Sankaran Venkatachalam

Nisha Murlidharan

Sowmya R Krishnan

C Ramakrishnan

Mpho Setshedi

...

2023/2/20

AutoPLP: A Padlock Probe Design Pipeline for Zoonotic Pathogens

ACS infectious diseases

Sowmya Ramaswamy Krishnan

Ruben RG Soares

Narayanan Madaboosi

M Michael Gromiha

2023/2/15

See List of Professors in M. Michael Gromiha University(Indian Institute of Technology Madras)

Co-Authors

H-index: 59
Dmitrij Frishman

Dmitrij Frishman

Technische Universität München

H-index: 34
Anju Chadha

Anju Chadha

Indian Institute of Technology Madras

H-index: 34
Shandar Ahmad

Shandar Ahmad

Jawaharlal Nehru University

H-index: 26
Athi N Naganathan

Athi N Naganathan

Indian Institute of Technology Madras

H-index: 16
vani janakiraman

vani janakiraman

Indian Institute of Technology Madras

H-index: 13
Puneet Rawat, PhD

Puneet Rawat, PhD

Indian Institute of Technology Madras

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