Valentin Zulkower

The paper introduces a toolkit using machine learning to predict ice binding protein potential, activity, and expression from sequences, achieving high accuracy and scalability.

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

The paper introduces an algorithm for DNA molecule design and assembly that optimizes tradeoffs between design requirements and manufacturing constraints, showing scalability and near-optimal results.

DNA Features Viewer provides a Python library for customizable sequence annotation visualizations with optimized layout and readability.

DNA Chisel provides a flexible framework for DNA sequence optimization through Python scripts and Genbank annotations.

The paper introduces CyanoGate, a modular cloning system for cyanobacteria based on the plant MoClo syntax, enabling knock-outs, integrations, and multigene expression.