Access to Biological Web Services from Python.

AI Agents for drug discovery, drug development, and other pharmaceutical R&D

a demo of a chatbot for querying and interpreting biomodels stored in the VCell BioModel Database. It enables users to interact with biological modeling resources using natural language and provides structured outputs, model metadata, downloadable files, and visualizations in real time.

An AI-powered platform for discovering, analyzing, and exploring biomodels from the VCell database. Built as part of Google Summer of Code (GSoC25), this project combines modern web technologies with AI capabilities to provide an intuitive interface for scientific model research.

The Analyzer project goal is to detect clusters of points in n dimensional space and project it to m dimensional space

Python library to download and cache models from BioModels

Generate a summary of metadata annotations in the BioModels database

Computational generation of adaptive, simulated, and artistic media that resemble the complex philosophy and aesthetics of life and nature

Quality control tool for the BioModels repository of biochemical models

Hierarchical multi-agent AI system designed to perform complex tasks to enable AI-driven research, document analysis, and intelligent interaction.

External package for POJO, domain or entity classes used across interconnected and relevant projects.

AI Agents for drug discovery, drug development, and other pharmaceutical R&D