How to Cite VigyanLLM in Your Research
Use the citation below to reference VigyanLLM in your manuscripts, theses, and grant applications. Multiple citation formats are provided for compatibility with academic publishing workflows.
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)
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
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.
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.
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
@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}
}
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 -
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Tool-Specific Citations
If only one VigyanLLM tool was used in your study, cite the tool specifically rather than the entire platform.
| Tool | Citation | Copy |
|---|---|---|
| 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
| Attribute | Value |
|---|---|
| Current version | 2.x (production release) |
| Initial release | 2025 |
| Platform type | Web-based bioinformatics platform |
| DOI | Pending — Zenodo registration in progress |
| License | Free for academic research; commercial terms available |
| Changelog | View changelog |
For NAR Web Server Issue Authors
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.