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Vecura Citation Guidelines

Citing the Vecura Platform, Capabilities, Workflows, Documentation, FAQs

Purpose

This page gives recommended citation formats for academic papers that use Vecura. Because Vecura is a platform, these formats do not use version numbers. Authors should cite the access date, plus the specific capability or workflow when relevant.

Citing the Vecura Platform

Use this format when Vecura is used as the core platform for molecular discovery, target identification, compound screening, lead optimization, or life science research workflows.

Recommended citation

NYB.AI. 2026. Vecura: Agentic AI Platform for Molecular Discovery and Life Science Research. Singapore: NYB.AI. Available at https://vecura.com. Accessed <Month Day, Year>.

Example

NYB.AI. 2026. Vecura: Agentic AI Platform for Molecular Discovery and Life Science Research. Singapore: NYB.AI. Available at https://vecura.com. Accessed September 1, 2026.

Citing Specific Vecura Capabilities

Use this format when the paper relies on a specific Vecura capability, model, data resource, or computational engine.

Recommended citation format

NYB.AI. <Year>. <Capability Name>: <Capability Description>. Singapore: NYB.AI. Available at https://vecura.com. Accessed <Month Day, Year>.

Examples

NYB.AI. 2026. LigoSPACE: Drug Target Interaction Modeling Capability. Singapore: NYB.AI. Available at https://vecura.com. Accessed <Month Day, Year>.
NYB.AI. 2026. BIND: Bioactivity Driven Interaction Discovery Capability. Singapore: NYB.AI. Available at https://vecura.com. Accessed <Month Day, Year>.
NYB.AI. 2026. Vecurate: Nature Derived Compound Library. Singapore: NYB.AI. Available at https://vecura.com. Accessed <Month Day, Year>.

Citing Vecura Workflows

Use this format when the paper relies on a defined Vecura workflow rather than only the general platform.

Recommended citation format

NYB.AI. <Year>. Vecura <Workflow Name> Workflow. Singapore: NYB.AI. Available at https://vecura.com. Accessed <Month Day, Year>.

Examples

NYB.AI. 2026. Vecura Target Identification Workflow. Singapore: NYB.AI. Available at https://vecura.com . Accessed <Month Day, Year>.
NYB.AI. 2026. Vecura Compound Screening Workflow. Singapore: NYB.AI. Available at https://vecura.com. Accessed <Month Day, Year>.
NYB.AI. 2026. Vecura Lead Optimization Workflow. Singapore: NYB.AI. Available at https://vecura.com. Accessed <Month Day, Year>.
NYB.AI. 2026. Vecura ADMET Prediction Workflow. Singapore: NYB.AI. Available at https://vecura.com. Accessed <Month Day, Year>.

Citing Vecura Documentation

Use this format when citing a Vecura user guide, technical note, protocol, tutorial, or documentation page.

Recommended citation format

NYB.AI. <Year>. <Documentation Page Title>. Vecura Documentation. Available at <URL>. Accessed <Month Day, Year>.

Example

NYB.AI. 2026. Vecura Compound Screening Workflow Guide. Vecura Documentation. Available at https://vecura.com. Accessed September 1, 2026.

Citing Vecura FAQs

Use this format when citing a specific Vecura FAQ.

Recommended citation format

NYB.AI. <Year>. <FAQ Question>. Vecura FAQ. Available at <URL>. Accessed <Month Day, Year>.

Example

NYB.AI. 2026. How should I cite Vecura in an academic paper? Vecura FAQ. Available at https://vecura.com. Accessed September 1, 2026.

Recommended BibTeX Entry for Vecura

@software{nyb_vecura_2026,
  author = {{NYB.AI}},
  title = {Vecura: Agentic AI Platform for Molecular Discovery and Life Science Research},
  year = {2026},
  publisher = {NYB.AI},
  address = {Singapore},
  url = {https://vecura.com},
  note = {Accessed September 1, 2026}
}

BibTeX Entry for a Specific Vecura Capability

@software{nyb_vecura_capability_2026,
  author = {{NYB.AI}},
  title = {Capability Name: Capability Description},
  year = {2026},
  publisher = {NYB.AI},
  address = {Singapore},
  url = {https://vecura.com},
  note = {Accessed Month Day, Year}
}

BibTeX Entry for a Vecura Workflow

@misc{nyb_vecura_workflow_2026,
  author = {{NYB.AI}},
  title = {Vecura Workflow Name Workflow},
  year = {2026},
  publisher = {NYB.AI},
  address = {Singapore},
  url = {https://vecura.com},
  note = {Accessed Month Day, Year}
}

Suggested Methods Statement

Authors may describe Vecura usage in the Methods section as follows.

Computational analysis was performed using Vecura, an agentic AI platform for molecular discovery and life science research developed by NYB.AI. Vecura was used for <workflow description>, including <specific tasks>. Vecura was accessed on <Month Day, Year>.

Example

Computational analysis was performed using Vecura, an agentic AI platform for molecular discovery and life science research developed by NYB.AI. Vecura was used for target identification, compound screening, hit prioritization, and predicted bioactivity assessment. Vecura was accessed on September 1, 2026.

Recommended Citation Practice

  • Use the Vecura platform citation when the platform is used generally.

  • Use a specific capability citation when LigoSPACE, BIND, Vecurate, or another Vecura capability contributes directly to the analysis.

  • Use a workflow citation when the reported result depends on a defined computational workflow.

  • Use a documentation or FAQ citation when referencing instructions, protocols, tutorials, or support content.

  • For reproducibility, authors should report the platform name, capability name, workflow name, access date, input data type, key parameters, output type, plus any project specific settings where applicable.

Source Description

Vecura is described by NYB.AI as an agentic AI platform for molecular discovery and life science research. The citation guidance above treats Vecura as a platform without release versioning. This makes access date, capability name, workflow name, input data, parameters, outputs, plus project settings the key reproducibility fields.