This article provides a comprehensive guide to the Enzyme Commission (EC) number system.
This article provides a thorough exploration of computational methods for predicting Enzyme Commission (EC) numbers directly from amino acid sequences.
This article explores EZSpec, a novel deep learning framework designed to predict enzyme substrate specificity with high accuracy.
This comprehensive article explores Differential Scanning Calorimetry (DSC) as a critical tool for assessing protein thermal stability in biopharmaceutical research.
This article provides a complete roadmap for applying Design of Experiments (DoE) to optimize complex multi-enzyme cascade reactions, critical for biocatalysis and pharmaceutical synthesis.
This article provides a comprehensive comparison of three leading tools for enzyme function prediction—DeepECtransformer, DIAMOND, and DeepEC—targeted at researchers and professionals in bioinformatics and drug development.
This comprehensive tutorial provides researchers and drug development professionals with a complete guide to implementing DeepECtransformer, a state-of-the-art deep learning model for Enzyme Commission (EC) number prediction from protein sequences.
This article provides a detailed roadmap for researchers and drug development professionals on DNA shuffling, a cornerstone directed evolution technique.
This article provides a comprehensive analysis of the specialized DNA and protein repair systems that enable extremophiles—organisms thriving in extreme environments—to withstand catastrophic cellular damage.
This definitive guide provides researchers and drug development professionals with a thorough exploration of Circular Dichroism (CD) spectroscopy for protein structural analysis.