Neil Swainston

Galaxy-SynBioCAD provides an automated pipeline for synthetic biology design and engineering, achieving an 83% success rate in retrieving validated pathways.

MassGenie uses a transformer-based deep learning model to predict small molecule structures from mass spectra, achieving accurate results without explicit fragmentation rules.

This paper introduces DeepGraphMol, a method using graph convolution and reinforcement learning to generate molecules with desired properties, such as binding to dopamine transporters while avoiding norepinephrine binding.

PartsGenie is a tool for designing and sharing synthetic biology parts, integrating optimization, data standards, and repository access.

Selenzyme is an online tool that helps select enzymes for metabolic pathway design by analyzing sequence, reaction, and organism-related data.

The paper introduces a web service for automatic metabolic reaction balancing, enabling interoperability across systems biology tools by exposing the functionality as a RESTful API.

The paper outlines ten lessons for designing, provisioning, and reusing persistent identifiers to improve data integration in life sciences.