BIOATLAS SCIENTIFIC COPILOT

Architect Your TechBio Computing Pipeline

Translate research objectives into validated, end-to-end biological computing stacks. From de novo structural diffusion to high-throughput screening and automated wet-lab synthesis.

Select a Research Objective or Pipeline Template:

Protein Engineering Pipeline

De Novo Nanobody / Binder Design targeting Oncogenic Receptors

End-to-end generative design of high-affinity binders without prior immunisation.

1

Target Definition & Pocket Epitope Selection

Cloud API or 1x A100~2 minutes

Extract 3D coordinates and define binding hotspot residues on the target antigen.

Recommended Tool:AlphaFold 3Bio ModelsPredicts target conformation & post-translational modifications
2

De Novo Backbone Diffusion

1x RTX 4090 / A100 GPU~15 minutes / 1k backbones

Generate 1,000 diverse binder backbones complementary to the target binding site.

Recommended Tool:RFdiffusionBio ModelsStructure generation guided by target hotspot residues
3

Inverse Folding & Sequence Design

1x A100 (40GB)~5 minutes

Design amino acid sequences for generated backbones that fold into the target geometry.

Recommended Tool:ESM-3Bio ModelsMultimodal generative sequence generation with stability filters
4

In Silico Complex Validation & Folding

1x GPU~20 minutes

Filter candidates by predicted binding affinity (ipTM > 0.85, RMSD < 1.5Å).

Recommended Tool:RoseTTAFold All-AtomBio ModelsAll-atom binder-target docking validation
5

Wet-Lab Synthesis & Robotic Screening

SaaS PlatformWet-Lab Protocol

Transfer top 24 designed sequences to automated synthesis and yeast display.

Recommended Tool:Benchling R&D CloudCloud PlatformsInventory tracking, robotic worklists, and affinity assay logging

Cloud & Cluster Execution

Need dedicated GPU infrastructure to execute these Nextflow pipelines at scale? Check out our evaluated Life Sciences Cloud Platforms → or discover specialized Bio-AI Hardware Accelerators →.