Hi, there.
Ask me to explore a target, run a model, build a pipeline, or make sense of a result — or browse new tools below.
Start with
New tools
DeepBioisostere
Deep generative model that performs end-to-end bioisosteric replacement on a small molecule: it selects which fragment to remove, which library fragment to insert, and how to attach it, conditioned on desired changes in logP, molecular weight, QED and synthetic accessibility.
Biomamba RNA Analysis
Generate optimized RNA sequence candidates from a target sequence, ranked by similarity.
Cat Pred
Thin-client wrapper for the Boltzmann Labs hosted Cat Pred tool. CatPred is a deep-learning framework for predicting in vitro enzyme kinetic parameters using pretrained protein language models and 3D structural features, with model uncertainty quantification.
Parrot (Reaction Condition Prediction)
Parrot predicts the reaction conditions needed to run a chemical reaction.
MOSAIC
MOSAIC (Multiple Optimized Specialists for AI-Driven Chemical Predictions) navigates chemical reaction space by partitioning it into Voronoi domains and routing a query transformation to the domain that owns its chemistry.
Pyteomics
Pyteomics is a collection of lightweight Python tools for proteomics data analysis: physico-chemical properties of polypeptides (mass and isotopic distribution, charge and pI, chromatographic retention time), access to MS/LC-MS data, FASTA databases and search-engine output, and manipulation of modified peptide/protein sequences.