Peptalyzer™ Resources – Algorithms & Models

Explore the scientific principles, algorithms, and models behind Peptalyzer™. Each resource below explains how we calculate peptide properties such as binding potential, hydropathy, pI, and more.

Stability & Solubility

Peptalyzer™ Polarity Matrix

A proprietary 2D visualization for peptide solubility prediction. It maps hydrophobicity against charge to flag aggregation risks before synthesis.

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Aliphatic Index

Originally designed for protein stability, this heuristic helps chemists gauge hydrophobicity and aggregation risks during synthesis.

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Secondary Structure Propensity

Chou-Fasman algorithm to map beta-sheet propensity, identifying “difficult sequences” and aggregation hotspots that cause failure during SPPS.

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Peptide Charge Distribution

Maps localized charge clustering and 3D topology to identify electrostatic hotspots and surfactant-like risks that global net charge averages fail to detect.

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Aromaticity Index

Distinguishes between “standard” and “His-inclusive” aromaticity to predict π–π stacking aggregation risks that standard metrics miss.

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Instability Index

Details the Guruprasad method for the Instability Index. Note: This predicts biological in vivo half-life, not chemical shelf-life.

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Interaction & Binding

Boman Index

A bio-predictive metric for protein-binding potential. It highlights “sticky” peptides that may complicate purification and analysis.

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Hopp-Woods Scale

Highlights hydrophilic segments to identify surface-exposed regions. Used for epitope prediction and troubleshooting synthesis solubility.

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Kyte-Doolittle Scale

Provides a residue-by-residue hydrophobicity profile. Useful for identifying hydrophobic cores and assessing aggregation risks in SPPS.

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Wimley-White Scale

Calculates the thermodynamic free energy of membrane partitioning. Essential for designing membrane-active peptides and predicting true lipid insertion.

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Eisenberg Hydrophobic Moment

Calculates the 3D amphipathicity of folded α-helices using vector mathematics. Essential for identifying membrane-active domains (AMPs) and predicting severe formulation traps like micelles and gels.

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Physical Properties & Concentration

Extinction Coefficients

Explains the Pace (ε280) and Anthis & Clore (ε205) methods for calculating accurate concentrations of aromatic and “invisible” peptides.

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Isoelectric Point (pI)

A guide comparing industrial pKa scales (IPC 2.0, Bjellqvist, Lehninger) to improve accuracy in peptide design and synthesis.

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GRAVY Score

Estimates average hydrophobicity using Kyte-Doolittle values. Essential for predicting solubility, polarity, and membrane association.

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Peptide Size Metrics

Explains compact-state volume, equivalent sphere radius, and flexible-chain models for interpreting peptide dimensions and steric behavior in solution.

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Peptide Synthesis

SPPS Difficulty Prediction

Predict synthesis risks with Peptalyzer™. Dual-engine logic maps aggregation and kinetic barriers for smarter SPPS planning.

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Peptalyzer™ Calculation Framework

Noncanonical Amino Acids

Explains how Peptalyzer™ integrates noncanonical residues across calculations, including analog mapping, partial support, and model limitations.

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Terminal Modifications

Explains how N- and C-terminal groups affect mass, charge, pI, UV, and residue-based descriptors in Peptalyzer™.

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Z-Scale Peptide Descriptors

A 5D residue descriptor framework that captures multivariate sequence behavior beyond single-value hydropathy scales.

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