Statistical analysis of sequential motifs at biologically relevant protein-protein interfaces - Computational and Structural Biotechnology Journal

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Managing complexity: Novel protein folding tool vastly simplifies understanding how sequence encodes structure

Structural trends in antibody-antigen binding interfaces: a computational analysis of 1833 experimentally determined 3D structures - Computational and Structural Biotechnology Journal

Protein-Specific Signal Peptides for Mammalian Vector Engineering

Publications — Greenleaf Lab @ Stanford

Tertiary Structural Motif Sequence Statistics Enable Facile Prediction and Design of Peptides that Bind Anti-apoptotic Bfl-1 and Mcl-1 - ScienceDirect

Transite: A Computational Motif-Based Analysis Platform That Identifies RNA-Binding Proteins Modulating Changes in Gene Expression - ScienceDirect

Sequence statistics of tertiary structural motifs reflect protein stability

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Statistical analysis of sequential motifs at biologically relevant protein-protein interfaces - Computational and Structural Biotechnology Journal

Frontiers Identifying well-folded de novo proteins in the new era of accurate structure prediction

Towards a structurally resolved human protein interaction network