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Why Cite VigyanLLM?

VigyanLLM is a sovereign bioinformatics platform used by researchers worldwide for primer design, sequence analysis, molecular docking, multiple sequence alignment, and related computational biology tasks. The platform implements validated thermodynamic algorithms (SantaLucia 1998 nearest-neighbour model, Primer3 core engine), industry-standard search tools (NCBI BLAST), and established docking scoring functions (AutoDock Vina, GNINA). Citing VigyanLLM in your work acknowledges the computational infrastructure that powered your analysis and helps other researchers discover these tools.

Preferred Citation (APA 7th Edition)

APA 7th Edition
Sharma, H. (2026). VigyanLLM: Sovereign bioinformatics platform for primer design, sequence analysis, and molecular docking (Version 2.x). https://www.vigyanllm.in

All Citation Formats

MLA 9th Edition
Sharma, Hemant. "VigyanLLM: Sovereign AI-Powered Bioinformatics Platform for Primer Design, Sequence Analysis, and Molecular Docking." Version 2.x, VigyanLLM Private Limited, 2026, www.vigyanllm.in.
Chicago 17th Edition
Sharma, Hemant. "VigyanLLM: Sovereign AI-Powered Bioinformatics Platform for Primer Design, Sequence Analysis, and Molecular Docking." Version 2.x. Accessed July 23, 2026. https://www.vigyanllm.in.
IEEE
H. Sharma, "VigyanLLM: Sovereign AI-Powered Bioinformatics Platform for Primer Design, Sequence Analysis, and Molecular Docking," Version 2.x. VigyanLLM Private Limited, 2026. [Online]. Available: https://www.vigyanllm.in
BibTeX (for LaTeX)
@misc{vigyanllm2026,
  author    = {Sharma, Hemant},
  title     = {{VigyanLLM}: Sovereign {AI}-Powered Bioinformatics Platform for Primer Design, Sequence Analysis, and Molecular Docking},
  year      = {2026},
  url       = {https://www.vigyanllm.in},
  note      = {Accessed: 2026-07-23},
  version   = {2.x}
}
RIS (for EndNote, Zotero, Mendeley)
TY  - COMP
AU  - Sharma, Hemant
TI  - VigyanLLM: Sovereign AI-Powered Bioinformatics Platform for Primer Design, Sequence Analysis, and Molecular Docking
PY  - 2026
UR  - https://www.vigyanllm.in
ER  -
EndNote XML
<?xml version="1.0" encoding="UTF-8"?>
<records>
  <record>
    <ref-type name="Computer Program">47</ref-type>
    <contributors>
      <authors>
        <author>Sharma, Hemant</author>
      </authors>
    </contributors>
    <titles>
      <title>VigyanLLM: Sovereign AI-Powered Bioinformatics Platform for Primer Design, Sequence Analysis, and Molecular Docking</title>
    </titles>
    <dates>
      <year>2026</year>
    </dates>
    <urls>
      <web-url>https://www.vigyanllm.in</web-url>
    </urls>
  </record>
</records>
CSL JSON (for Zotero)
{
  "id": "vigyanllm2026",
  "type": "software",
  "title": "VigyanLLM: Sovereign AI-Powered Bioinformatics Platform for Primer Design, Sequence Analysis, and Molecular Docking",
  "author": [
    {
      "family": "Sharma",
      "given": "Hemant"
    }
  ],
  "version": "2.x",
  "URL": "https://www.vigyanllm.in",
  "issued": {
    "date-parts": [
      [2026]
    ]
  }
}

Tool-Specific Citations

If only one VigyanLLM tool was used in your study, cite the tool specifically rather than the entire platform.

ToolCitationCopy
Primer Design Sharma, H. (2026). VigyanLLM Primer Design Tool (Version 2.x). https://www.vigyanllm.in/primer
BLAST Sharma, H. (2026). VigyanLLM BLAST Tool (Version 2.x). https://www.vigyanllm.in/blast
Molecular Docking Sharma, H. (2026). VigyanLLM Molecular Docking Tool (Version 2.x). https://www.vigyanllm.in/docking
MSA Sharma, H. (2026). VigyanLLM Multiple Sequence Alignment Tool (Version 2.x). https://www.vigyanllm.in/msa
Tm/GC Calculators Sharma, H. (2026). VigyanLLM Melting Temperature and GC Content Calculators (Version 2.x). https://www.vigyanllm.in/tm-calculator

Version Information

AttributeValue
Current version2.x (production release)
Initial release2025
Platform typeWeb-based bioinformatics platform
DOIPending — Zenodo registration in progress
LicenseFree for academic research; commercial terms available
ChangelogView changelog

For NAR Web Server Issue Authors

Information for Authors Submitting to the NAR Web Server Issue

If you are preparing a manuscript for the Nucleic Acids Research Web Server Issue or any other peer-reviewed journal that uses or compares VigyanLLM tools, please use the preferred citation above. For tool-specific comparisons (e.g., primer design accuracy), cite the specific tool using the tool-specific citations section. We recommend including the version number and access date in your methods section for reproducibility.

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