Schneidman Lab Softwares

Advanced computational tools for integrative structural modeling

PatchDock

Molecular Docking Algorithm Based on Shape Complementarity Principles

SymmDock

Prediction Of Complexes With Cn Symmetry Using Geometry-based Docking

NanoNet

Rapid and accurate end-to-end nanobody modeling by deep learning

Fold&Dock

A rapid modeling tool for antibody-antigen and nanobody-antigen complexes

RhoMax

An absorption maxima predictor for Rhodopsins

RaCoon

A tool for calibrating variant effect predictions

CLIPepPI

Scalable prediction of domain-peptide specificity using contrastive learning

EAGLE

Epitope-specific Antibody Generation using Language model Embeddings

SABLE

Structural Antibody Benchmark for deep-Learning Evaluation

Pathway Atlas