Tools

Open-source software, web servers, deep learning suites, and interactive Google Colab notebooks developed by the Ovchinnikov Lab.

Complete Tool Suite

Folding & Structure AlphaFold2 • MMseqs2

ColabFold

Accelerated, accessible protein folding via fast MSA generation (MMseqs2) and AlphaFold2 / RoseTTAFold.

Protein Design Hallucination • Jax

ColabDesign

Flexible suite for back-propagation based protein design using TrRosetta, RoseTTAFold, and AlphaFold.

Binder Design All-Atom

BoltzDesign

Inverting all-atom structure prediction models for generalized biomolecular binder design.

Sequence & Alignment Differentiable SW

SMURF

End-to-end learning of multiple sequence alignments with differentiable Smith–Waterman optimization.

Structure Alignment Neural Alignment

SWAMPNN / SoftAlign

End-to-end neural protein structure alignment and fold-switching landscape evaluation.

Model Accuracy AlphaFold2 Scoring

AF2Rank

State-of-the-art estimation of protein model accuracy and decoy ranking using un-modified AlphaFold.

Binding Prediction AlphaFold Pair-Rep

AF2BIND

Lightweight and fast prediction of small-molecule binding sites using AlphaFold2 pair representations.

Coevolution & Contacts C++ • Jax • TF

GREMLIN

Generative Regularized Estimation of Mutational Landscapes for predicting contact maps and couplings.

Interpretability ESM2 • ESM3 • MPNN

CatJac (Categorical Jacobian)

Extracting pairwise relationships and coevolutionary matrices directly from generative protein language models.

Sequence Models Fitness Landscapes

seqsal

Investigating structure-fitness landscapes and pairwise relations in generative sequence models.

Sequence Models Multivariate Modeling

seqmodels

Unified framework for modeling multivariate probability distributions in biological sequence data.

Map Alignment C++ • Alignment

map_align

Fast contact map alignment algorithm for identifying structural similarities without coordinates.