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amckenna41
protPy
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Feature/descriptors v1.5
- #16
#16
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amckenna41
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Oct 19, 2026
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Feature/descriptors v1.5
#16
amckenna41
merged 17 commits into
main
amckenna41/protPy:main
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feature/descriptors-v1.5
amckenna41/protPy:feature/descriptors-v1.5
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Commits on Oct 12, 2026
Post-1.4.2 audit fixes: descriptor correctness, validation, safe CSV output
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v1.5.0 phase 0: golden backwards-compatibility snapshot
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v1.5.0 phase 0: helpers, data tables, registry DOIs, references.bib
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v1.5.0 phase 1: CKSAAP, CKSAAGP, DDE, ASDC, distance pair, natural vector, atomic composition; GAAC/GDPC/GTPC, KSCTriad, 13-property CTD, split AAC/DPC
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v1.5.0 phase 2: amino-acid factor scales, auto/cross covariance, PDT
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v1.5.0 phase 3: charge fractions, NCPR, kappa, SCD, charge density; pKa scales for pI/charge
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v1.5.0 phase 4: hydrophobicity profile, hydrophobic ratio, half-life, IVYWREL, CvP bias, flexibility; scale options for GRAVY / hydrophobic moment, A280 absorbance
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v1.5.0 phase 5: Wootton-Federhen, linguistic and Lempel-Ziv complexity
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v1.5.0 phase 6: FFT and DCT signal descriptors
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v1.5.0 phase 7: AGGRESCAN, Uversky/FoldIndex, disorder propensity, TM and signal-peptide heuristics, functional sites, PLAAC, antigenicity, cysteine features
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v1.5.0 phase 8: descriptor_set/include/exclude driven by the registry, faster kappa, performance test
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v1.5.0 phase 9: docs, changelog, README, tutorial cell, version 1.5.0
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v1.5.0: warning-free docs build, test/data READMEs, pytest collection fix, registry-signature and short-sequence tests
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Add opt-in normalized=True ([0, 1] output with _norm columns) to scalar, autocorrelation, CTD and sequence-order descriptors
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Revert "Add opt-in normalized=True ([0, 1] output with _norm columns) to scalar, autocorrelation, CTD and sequence-order descriptors"
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Docs: scaling features for machine learning; correct autocorrelation normalize description
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Rewrite docstrings of all new v1.5.0 functions in the package docstring style; define factor-scale functions individually
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