Portrait of Dr. Siddharth Sinha

Dr. Siddharth Sinha

Cancer Genomics • Computational Structural Biology • Molecular Dynamics • AI/ML in Biomedicine

An enthusiastic researcher with expertise in cancer genomes, big data analytics, bioinformatics, drug design, and computational structural biology. Focused on protein structure–based evaluation, MD simulations, free energy estimation, ligand binding, and conformational analysis for variant classification and target discovery.

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Macau, Macao S.A.R. University of Macau Open to opportunities

Skills

Biomedical • Computational • Programming

Biomedical & Genomics

  • Cancer genomics; Variant Calling, Joint Genotyping (GATK), WES, sRNA‑seq, NGS
  • Clinical data analysis; DNA damage repair genes (BRCA1/2, PTEN, TP53, MLH1, MSH2)
  • Molecular biology: Western Blot, ELISA, SDS‑PAGE, PCR

Computational Structural Biology

  • Molecular Dynamics (all‑atom & CG), REMD, Free‑energy calculations
  • Protein–ligand modeling: Homology & Pharmacophore modeling, Docking
  • 3D & G‑QSAR, QM/MM (semi‑empirical)

Data & Software

  • Big Data Analytics; AI & Machine Learning in biosciences
  • Python, R, C++; High‑performance computing (HPCC)
  • Statistics for biomedicine; Deep learning (autoencoders for MD)

Achievements & Highlights

Publications

24 peer‑reviewed articles spanning computational structural bioinformatics, drug design, and cancer genomics.

Awards

  • Silver Prize (Poster), Apr 2023
  • Oral Speaker – Honorable Mention, May 2020
  • First Prize (Poster), Apr 2013

Funding & Service

  • Post‑doc projects on BRCA1/2, PTEN, TP53, MLH1 accepted for extramural funding
  • Professional associations: FENS, ISCB

Publications

Grouped by year • Field shown
2024
YearFieldCitation / Link
2024Computational Structural BioinformaticsComprehensive classification of TP53 somatic missense variants based on structural stability. Brief. Bioinf.
2024GenomicsPortuguese BRCA pathogenic variation & admixture impact. BMC Genomics
2024GenomicsPathogenic variants in DNA damage repair genes arose in recent history. BMC Cancer
2024Computational Structural BioinformaticsMLH1 VUS classification using protein structure‑based DL + Ramachandran + MD. IJMS
2023
YearFieldCitation / Link
2023Computational Structural BioinformaticsClassification of PTEN missense VUS through exascale simulations. Brief. Bioinf.
2023GenomicsAsian BRCA variation: ethnic specificity & deleteriousness from 7,500+ variants. Int J Cancer
2022
YearFieldCitation / Link
2022Review / MethodsApplications of molecular dynamics simulation in protein study. Membranes
2022Computational Structural BioinformaticsBRCA2 BRC4 deleterious VUS via MD. Brief. Funct. Genom.
2022Virology / StructuralSARS‑CoV‑2 RBD double mutations increase transmissibility via enhanced ACE2 interaction. Viruses
2021–2018
YearFieldCitation / Link
2021Computational Structural BioinformaticsDeleterious TP53 missense VUS via structural stability. IJMS
2020MethodsRamachandran + MD for variant classification; TP53 model. CSBJ
2020Computational Structural BioinformaticsBRCA1 BRCT VUS classification by MD. CSBJ
2019Cancer GenomicsTNBC: DNA methylation + transcription biomarkers & targets. Cancers
2019GenomicsBRCA1/2 germline variation in 30k+ Chinese HBOC patients. Int J Cancer
2018NeurogeneticsATXN2 nsSNPs: simulation & structural consequences in SCA2. J Cell Biochem
2017–2011 (Drug Design & Methods)
YearFieldCitation / Link
2017Enzyme InhibitionChymase inhibition: free energy & decomposition. Gene
2017TB ResistanceRifampicin resistance in M. tuberculosis RNAP β mutants. J Cell Biochem
2017HDAC InhibitorsClass IIa HDAC inhibitors toward SCA2: 3D‑QSAR & pharmacophore. Front Neurosci
2016HDAC InhibitorsHydroxamic‑based HDAC inhibitors: fragment G‑QSAR & MD. J Biomol Struct Dyn
2015ImmunologyH. pylori NAP as potential Treg modulator in asthma. Front Microbiol
2011MMP9 InhibitorsStructural insights into MMP9 inhibitor binding. Bioinformation

Full publication list available on Google Scholar, ResearchGate, and ORCID (see Profile Links below).

Experience

Postdoctoral Fellow — University of Macau (Nov 2017 – Apr 2024)
Cancer predisposition genes; MD simulations (REMD), WES/TAS/RNA‑seq analytics; target design across enzymes, ion channels & receptors.
Senior Research Fellow — Jawaharlal Nehru University, Delhi (Feb 2015 – Oct 2017)
Drug repurposing for Class IIa HDAC; HTS with pharmacophore + QSAR; designed/validated HIC & DHC on SH‑SY5Y and IMR‑32.
Senior Programmer — Bioinformatics Center, Biotech Park, Lucknow (Dec 2012 – Jul 2013)
Bioinformatics software validation; training & workshops; Python, R, C++.
Trainee Scientist — ACS bioINFORMATICS, Lucknow (Aug 2008 – Oct 2012)
Course design; industry training; collaborations; MMP9 inhibitor research.

Education

Ph.D., Applied Health Sciences (Computational Structural Bioinformatics)
TERI School of Advanced Studies, New Delhi — 2018

Thesis on histone deacetylase (HDAC) in SCA2 using homology modeling, docking, pharmaco‑informatics, MD, 3D/G‑QSAR and in‑vitro validation.

B.Tech, Biotechnology
Amity University, Delhi (NCR) — 2010

Teaching, Conferences & Professional Associations

Teaching & Supervision

  • Supervised 50+ MSc dissertations (University of Macau)
  • Teaching Fellow: Biomedical Statistics & Big Data in Cancer Biology (2019, 2020, 2022, 2023)
  • TERI University: Bioinformatics lab (2016–2017), lectures for MSc (2015)

Conferences (Selected)

  • Advanced Methods in MD, Copenhagen — Oral (Dec 2023)
  • EMBO Workshop on Computational Structural Biology, Heidelberg (Dec 2023)
  • Basel Computational Biology Conf. — BRCA2 BRC4 (Sep 2021)
  • 4th Symposium on Biomedical Sciences — BRCA1 BRCT (May 2020)

Professional Associations

Federation of European Neurosciences Society (FENS); International Society for Computational Biology (ISCB)

Location

Contact



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+853 6347 4272

Macau 999078 (University of Macau)