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spike-protein

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vadimtyuryaev / ViralEntropR

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R package for entropy-informed detection of emerging viral variants and genomic surveillance. Implements per-site Shannon entropy, Gaussian mixture model site selection, Hellinger distance, and non-parametric change-point detection. Validated on SARS-CoV-2 Spike protein sequences from NCBI and GISAID databases.

bioinformatics clustering computational-biology gaussian-mixture-models fasta r-package functional-data-analysis ncbi viral-genomics shannon-entropy change-point-detection viral-evolution variant-detection covid-19 sars-cov-2 gisaid molecular-epidemiology genomic-surveillance hellinger-distance spike-protein
  • Updated May 31, 2026
  • R

Qasim-Hussain-Code / colabfold_boltz_structure_confidence_pipeline

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A measured benchmark of structure prediction confidence, reporting pLDDT calibration against lDDT, the physical validity of predicted structures, and what docking into a predicted receptor costs against docking into the crystal structure it was built from.

python bash benchmark structural-biology computational-biology reproducibility pae structural-bioinformatics protein-structure-prediction molecular-docking coronavirus confidence-calibration boltz alphafold2 colabfold spike-protein pedv plddt lddt openstructure
  • Updated Sep 28, 2026
  • Python

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