Md Ackas Ali

Graduate Teaching Assistant

Georgia Institute of Technology

United States

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Md Ackas Ali is a Graduate Teaching Assistant at the Georgia Institute of Technology in the United States. His research primarily focuses on molecular dynamics and structural biology, with recent articles exploring the impact of SARS-CoV-2 mutations and the structural dynamics of various proteins associated with the virus. His work also encompasses computational screening of antiviral peptides and phytochemicals as potential therapeutic approaches against COVID-19.

Articles (10)

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

Collaborators (3)

Khondaker Miraz Rahman

King’s College London

UNITED KINGDOM

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Andrew McShan

Assistant Professor

Georgia Institute of Technology

UNITED STATES

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Mohammad Halim

Assistant Professor

Kennesaw State University

UNITED STATES

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Md Ackas Ali

Research Interests

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Articles (10)

Antiviral peptides inhibiting the main protease of SARS‐CoV‐2 investigated by computational screening and in vitro protease assay

Structural dynamics and functional analysis of Saprolegnia parasitica chitin synthases 5 in a phospholipid bilayer

Unraveling the impact of ORF3a Q57H mutation on SARS-CoV-2: insights from molecular dynamics

Structure and dynamics of whole-sequence homology model of ORF3a protein of SARS-CoV-2: An insight from microsecond molecular dynamics simulations

Structural and functional effects of the L84S mutant in the SARS-COV-2 ORF8 dimer based on microsecond molecular dynamics study

Cytotoxicity, Antioxidant Activity, Molecular Docking, and Dynamics Simulation Analysis Against SARS-CoV-2 M and N Protein Models of Phytoconstituents of Micromelum Minutum

Molecular dynamics investigation of ivermectin bound to importin alpha/beta heterodimer

Phytochemicals-based targeting RdRp and main protease of SARS-CoV-2 using docking and steered molecular dynamic simulation: A promising therapeutic approach for Tackling COVID-19

Comprehensive Characterization of the Coding and Non-Coding Single Nucleotide Polymorphisms in the Tumor Protein p63 (TP63) Gene Using In Silico Tools

A student led computational screening of peptide inhibitors against main protease of SARS‐CoV ‐2

Collaborators (3)

Khondaker Miraz Rahman

Andrew McShan

Mohammad Halim

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