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Vecura
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Insights

Perspectives from the Vecura team.

Research analysis, industry perspectives, and deep dives on AI for life science discovery.

Insights

Vecura Biotech Insiders #06: Peptide Design on a Scorpion Defensin Scaffold

In this sixth edition of Vecura Biotech Insiders, we highlight a workflow shared with the Vecura team by Xiao Jing Chen: a scaffold-based peptide design campaign against a scorpion defensin, and what happened when the folded structures and the sequences behind them were finally read side by side.

Aug 20, 2026

Insights

Vecura Biotech Insiders #05: Lead Optimization Against NEK2

A User-Shared Workflow from the Vecura Community Lead Optimization Against NEK2: What Three Generative Rounds Cost, and What They Bought

Aug 14, 2026

Insights

From Screening Workflow to Shelf: What an ODM/OEM Partner Actually Gets from Vecura

A beauty-from-within case study — collagen-led nutricosmetics

Aug 7, 2026

Insights

Vecura Biotech Insiders #04: Vibe in Silico on Vecura

In this Vecura Biotech Insiders feature, we explore a perspective on where agentic AI actually sits alongside physics-based simulation and learned prediction — and what's left to call "vibe in silico" once you subtract what the agent actually computed.

Aug 6, 2026

Insights

Vecura Biotech Insiders #03: Building a Humanized Tyrosinase Model for Structure-Based Docking

In this Vecura Biotech Insiders feature, we explore a user-shared workflow for building a copper-tagged human tyrosinase model from AlphaFold, benchmarking it against mushroom tyrosinase, and preparing it for structure-based docking.

Jul 30, 2026

Insights

Building the Active Sweet Receptor from a Cloud of Density

A walkthrough of how to build an atomic model from a cryo-EM density map

Jul 24, 2026

Insights

Vecura Biotech Insiders #02: De novo Antibody Design Pipelines on Vecura

In this second edition of Vecura Biotech Insiders, we highlight a workflow shared with the Vecura team by Tony 阮进成 during the support process.

Jul 24, 2026

Insights

Using Boltz-2.1 for Structure Confidence Screening in a De Novo Protein Design Workflow

How the Vecura platform runs Boltz-2.1 through the API as the structure-validation engine inside a multi-model design pipeline, folding nine designed sequences with ten sampled models each and turning per-structure confidence into a triage signal for what to carry forward.

Jul 16, 2026

Insights

De Novo Design of Sartan-Like AT1R Binders for Companion-Animal Kidney Health

A Vecura workflow, chaining generative small-molecule design, structure-based docking, ADMET prediction and toxicophore-constrained redesign against the angiotensin II type 1 receptor. What the platform surfaced was not a drug candidate but something more useful, a quantified account of the potency-safety tradeoff that governs this chemotype.

Jul 15, 2026

Insights

Vecura Biotech Insiders #01: From Docking to Molecular Dynamics

A community workflow example using AutoDock Vina and GROMACS on Vecura

Jul 10, 2026

Insights

How to Slow down Amyotrophic Lateral Sclerosis - An In-Silico Approach to SOD1 Stabilization

A proposed computational pipeline for identifying small-molecule binders at the SOD1 dimer interface

Jul 3, 2026

Insights

Designing a Peptide to Hit LRRK2: A De Novo Generative Pipeline Against the ATP Pocket

A walkthrough of how modern protein design models behave when pointed at a hard, conserved kinase pocket, and what the output does and does not tell us.

Jul 3, 2026
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Vecura

Product

  • Solutions
  • Pricing
  • Referral Program

Company

  • Contact us
  • Academic Research Program

Resources

  • Updates
  • News
  • Insights
  • Use Cases
  • AI4Life Bootcamp
  • Community

Legal

  • Privacy Policy
  • Terms of Service
  • Citation Guidelines
  • Trust Center

© 2026 NYB AI. All rights reserved.

All systems operational