Skip to content
Bioinformatics Daily
by Syed Mohammad Lokman

About the Author: Syed Mohammad Lokman

5 min read

Syed Mohammad Lokman

Computational Biologist & Bioinformatics Specialist
Institutional Affiliation: Asian University for Women (AUW), Chittagong, Bangladesh
Email: syed.lokman@auw.edu.bd | Personal Portal: syedlokman.com

Academic Credentials & Verified Authority

🟢 ORCID: 0000-0001-5139-7368

🎓 Google Scholar Profile

💼 LinkedIn: syedlokman3

💻 GitHub: @syedlokman

Professional Biography & Experience

Syed Mohammad Lokman is an academic researcher and computational biologist specializing in translational bioinformatics, reverse vaccinology, immunoinformatics, and molecular dynamics (MD) simulations. He currently leads computational laboratory curricula as an instructor for BIOL4000L: Advanced Bioinformatics and Machine Learning (Lab) at the Asian University for Women (AUW).

With advanced training in Genetic Engineering and Biotechnology (M.Sc. research on macroalgal genomics and viral pathogenesis), his research spans the identification of novel viral variants, structural epitope mapping for emerging arboviruses, and high-throughput virtual screening of natural anti-cancer compounds. He has completed international research fellowships including at the National Institute for Physiological Sciences (NIPS) in Okazaki, Japan, investigating neural circuit remodeling.

Peer-Reviewed Publications & Scientific Contributions

Syed Mohammad Lokman’s academic outputs adhere to rigorous peer review and reproducible open science standards:

1. Reverse Vaccinology & Immunoinformatics

  • Multi-Epitope Vaccine Candidate for Sindbis Virus:
    Development of a multi-epitope vaccine candidate against Sindbis virus through integrated immunoinformatics approaches and molecular dynamics simulations.
    Published in PLOS ONE.
    DOI: 10.1371/journal.pone.0298716
    Key findings: Identified antigenic, non-allergenic, and conserved cytotoxic T-lymphocyte (CTL), helper T-lymphocyte (HTL), and linear B-cell (LBL) epitopes from the Sindbis virus structural polyprotein, engineered with human beta-defensin-3 adjuvants and validated through 100 ns root-mean-square deviation (RMSD) and MM/PBSA free-energy calculations.

2. Computer-Aided Drug Discovery (CADD) & Oncology

  • Fungal Bioactive Metabolites Targeting SIRT2:
    In silico screening and molecular dynamics investigations of bioactive fungal metabolites as potential human Sirtuin 2 (SIRT2) antagonists for cancer therapy.
    Published in Computers in Biology and Medicine.
    DOI: 10.1016/j.compbiomed.2023.107088
    Key findings: Evaluated dynamic binding free energies, hydrogen-bond occupancies, and PCA essential dynamics to identify nanomolar-affinity scaffolds targeting the catalytic pocket of SIRT2.

3. SARS-CoV-2 Spike Glycoprotein Variant Surveillance

  • Genomic & Proteomic Variations of SARS-CoV-2 Spike:
    Comprehensive mutational profiling and thermodynamic stability shifts in the Receptor-Binding Domain (RBD) interacting with human ACE2.
    Cited across multiple international COVID-19 surveillance consortia.

4. NCBI GenBank Primary Data Submissions

Syed Mohammad Lokman has authored and deposited primary nucleotide sequences and viral genome assemblies directly to the NCBI GenBank repository:

  • Lumpy Skin Disease Virus (LSDV): Complete genome sequences isolated from domestic cattle outbreaks in South Asia (NCBI GenBank Accessions including OR064379 and MW355944).
  • Tick-Borne Rickettsiales (Ehrlichia species): 16S rRNA gene and gltA sequence submissions characterizing vector-borne bacterial transmission.

Teaching & Academic Leadership at AUW

At the Asian University for Women (AUW), Syed Mohammad Lokman directs computational biology laboratory education:

  • Course Director: BIOL4000L: Advanced Bioinformatics and Machine Learning (Lab)
  • Core Curricula: R/Bioconductor statistical foundations, exploratory genomic data analysis (ggplot2), bulk RNA-seq differential gene expression (DESeq2), supervised machine learning classifiers, and deep neural network sequence analysis.
  • Capstone Advising: BIOL4000L Capstone Mentorship guiding undergraduate scientists into peer-reviewed research and international graduate admissions.

Editorial Mission of Bioinformatics Daily

Bioinformatics Daily was established by Syed Mohammad Lokman to address the critical need for mathematically rigorous, reproducible, and accessible computational biology education. Every tutorial on this platform follows four strict editorial pillars:

  1. No Black-Box Tools: Every algorithm (from the Smith-Waterman matrix to DESeq2 negative binomial dispersion) is explained down to its underlying equations and code.
  2. Reproducible Scripts: All code snippets in R, Python, and Bash are tested against contemporary package releases (Bioconductor 3.19+, Python 3.11+, GROMACS 2024).
  3. FAIR Data Principles: Datasets utilized in tutorials link directly to public accession numbers in NCBI SRA, GEO, and the Protein Data Bank (PDB).
  4. Active Scholarly Citations: Literature reviews link directly to digital object identifiers (DOIs) so students can inspect primary experimental evidence.

Interactive Bioinformatics Utilities

To accelerate routine wet-lab and computational workflows for students, Syed Mohammad Lokman has developed client-side utilities hosted on Bioinformatics Daily:

DNA Reverse Complement & GC Content Instant single-click sequence reverse complementation, RNA transcription, and GC% calculator.
Protein Molecular Weight & pI Calculator Compute polypeptide molecular weights (kDa), isoelectric point (pI), and amino acid frequencies.
FASTA Validator & Formatter Sanitize multi-FASTA headers, re-wrap line lengths (60/80 bp), and flag non-IUPAC characters.

Get in Touch

Academic inquiries, research collaborations, or student questions regarding AUW laboratory courses can be directed to:

Topics Covered

Syed Mohammad LokmanSyed LokmanComputational BiologistBioinformatics SpecialistAUWAsian University for WomenSindbis virus vaccineCADDNGSORCID 0000-0001-5139-7368