timholy/boltz
Dec 2024 – Jun 2025
3 Months active
Languages Used
Python
Technical Skills
BioinformaticsData ParsingSoftware DevelopmentData HandlingFile Format ConversionCode Refactoring
benf549
PROFILE
Benf549
Benjamin Fry contributed to the timholy/boltz repository by enhancing residue parsing and structural data accuracy for bioinformatics workflows. He developed new parsing options in Python to selectively remove or generalize handling of leaving atoms, improving data quality for non-canonical amino acids and ensuring backward compatibility. His work included refactoring code for maintainability, refining PDB and mmCIF file output, and fixing bugs in ligand pLDDT mapping to guarantee correct per-atom annotation. By focusing on robust data parsing, file I/O, and state management, Benjamin delivered features and fixes that increased downstream reliability and reduced edge-case failures in structural bioinformatics pipelines.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
6Total
Bugs
2
Commits
6
Features
2
Lines of code
147
Activity Months3
Your Network
55 people
Work History
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for timholy/boltz focusing on feature delivery and reliability improvements that support researchers working with non-canonical amino acids and Boltz1 model outputs. Key work advanced data correctness and downstream usability through parsing and I/O refinements, with careful state management and clearer code paths to reduce future maintenance burden.
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for timholy/boltz focusing on feature delivery and reliability improvements that support researchers working with non-canonical amino acids and Boltz1 model outputs. Key work advanced data correctness and downstream usability through parsing and I/O refinements, with careful state management and clearer code paths to reduce future maintenance burden.
June 2025
April 2025
1 Commits
Apr 1, 2025April 2025 — Boltz (timholy/boltz) focused on improving structural data accuracy and reliability. Implemented a critical bug fix to ligand pLDDT mapping in PDB and mmCIF outputs, ensuring correct per-atom annotation and accurate representation in both formats, which strengthens downstream analyses and publication-ready data quality.
April 2025
1 Commits
Apr 1, 2025April 2025 — Boltz (timholy/boltz) focused on improving structural data accuracy and reliability. Implemented a critical bug fix to ligand pLDDT mapping in PDB and mmCIF outputs, ensuring correct per-atom annotation and accurate representation in both formats, which strengthens downstream analyses and publication-ready data quality.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 (timholy/boltz): Delivered a focused enhancement to residue parsing by introducing a new remove_oxt_atom option in parse_ccd_residue, enabling selective removal of OXT atoms during parsing of non-canonical residues in parse_polymer. This change improves residue parsing accuracy and data quality for downstream analyses, with default behavior preserved to avoid regressions. Commit reference included for traceability: 1e72e125a77b14feb2efdb8fcaaf317ba1e48658. No major bugs reported this month; emphasis was on feature delivery, code quality, and maintainability.
1 Commits • 1 Features
Dec 1, 2024December 2024 (timholy/boltz): Delivered a focused enhancement to residue parsing by introducing a new remove_oxt_atom option in parse_ccd_residue, enabling selective removal of OXT atoms during parsing of non-canonical residues in parse_polymer. This change improves residue parsing accuracy and data quality for downstream analyses, with default behavior preserved to avoid regressions. Commit reference included for traceability: 1e72e125a77b14feb2efdb8fcaaf317ba1e48658. No major bugs reported this month; emphasis was on feature delivery, code quality, and maintainability.
December 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture83.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
BioinformaticsCode RefactoringData HandlingData ParsingFile Format ConversionFile I/OSoftware DevelopmentSoftware Refactoring
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