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Alpha Fold

Introduction

The eProtein Discovery™ Cloud platform integrates AlphaFold to provide a structure-guided approach to protein engineering. By combining in silico 3D modeling with automated screening, researchers can transition from a primary sequence to a purified, soluble protein in approximately 48 hours.

This integration enables users to identify structural impediments to expression and solubility before committing to wet-lab experiments.

Core Functionalities

  1. AI-Driven Structural Prediction Upon entering a protein sequence, the software utilizes AlphaFold to generate high-confidence structural models.
  • Processing Time: Predictive data typically becomes available within minutes to hours, depending on sequence length and complexity.

  • Residue-Level Insights: Users can examine specific residues to understand local folding environments and potential post-translational modification sites.

  1. Structural Analysis & Visualization The platform provides several dynamic visualization modes to assess the "manufacturability" of a protein construct:
  • Confidence Metrics (pLDDT): High-resolution mapping of AlphaFold’s per-residue confidence scores.

  • Hydrophobicity Mapping: Identification of exposed hydrophobic patches that may lead to aggregation or poor solubility.

  • PAE Plots: Predicted Aligned Error plots help determine the relative orientation of domains and the flexibility of linkers.

  • Domain Annotation: Automated identification of functional domains to guide truncation strategies.

  1. Rational Construct Design (Variant Editor) The integrated Protein Variant Editor allows for high-precision engineering of novel constructs. Users can:
  • Truncate Regions: Remove disordered or "hard-to-express" N- or C-termini.
  • Domain Selection: Isolate specific domains of interest for targeted study.
  • Linker Integration: Insert custom linkers to stabilize multi-domain proteins or fusion tags.
  • Mutational Analysis: Design and validate point mutations to improve stability or function.

Technical Workflow

  • Sequence Input: Upload or paste the amino acid sequence into the Cloud interface.
  • AlphaFold Generation: Initiate the 3D modeling process to obtain structural predictions.
  • Bioinformatic Validation: Review Multiple Sequence Alignments (MSA) and confidence scores to verify the model's reliability.
  • Construct Refinement: Use the structural data to modify the sequence (e.g., removing hydrophobic loops or disordered regions).
  • Benchtop Execution: Export the optimized design for rapid automated screening and expression.

Nuclera Technical Support:
UK Phone +44 1223 942 761
US Phone: +1 508-306-1297
Email: techsupport@nuclera.com

Offices:
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One Vision Park, Station Road, Cambridge, CB24 9NP, UK


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