Title: GitHub - KosinskiLab/AlphaJudge: AlphaJudge is a pipeline that evaluates AlphaFold-predicted protein complexes by combining AI-derived confidence metrics (ipTM, pDockQ, PAE, etc.) with physics-based interface features (contacts, area, energy, electrostatics, etc), producing a unified CSV report for model validation and benchmarking.
Open Graph Title: GitHub - KosinskiLab/AlphaJudge: AlphaJudge is a pipeline that evaluates AlphaFold-predicted protein complexes by combining AI-derived confidence metrics (ipTM, pDockQ, PAE, etc.) with physics-based interface features (contacts, area, energy, electrostatics, etc), producing a unified CSV report for model validation and benchmarking.
X Title: GitHub - KosinskiLab/AlphaJudge: AlphaJudge is a pipeline that evaluates AlphaFold-predicted protein complexes by combining AI-derived confidence metrics (ipTM, pDockQ, PAE, etc.) with physics-based interface features (contacts, area, energy, electrostatics, etc), producing a unified CSV report for model validation and benchmarking.
Description: AlphaJudge is a pipeline that evaluates AlphaFold-predicted protein complexes by combining AI-derived confidence metrics (ipTM, pDockQ, PAE, etc.) with physics-based interface features (contacts, area, energy, electrostatics, etc), producing a unified CSV report for model validation and benchmarking. - KosinskiLab/AlphaJudge
Open Graph Description: AlphaJudge is a pipeline that evaluates AlphaFold-predicted protein complexes by combining AI-derived confidence metrics (ipTM, pDockQ, PAE, etc.) with physics-based interface features (contacts, a...
X Description: AlphaJudge is a pipeline that evaluates AlphaFold-predicted protein complexes by combining AI-derived confidence metrics (ipTM, pDockQ, PAE, etc.) with physics-based interface features (contacts, a...
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