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8 Ιουλ 2020 · Accurate prediction of the optimal catalytic temperature (Topt) of enzymes is vital in biotechnology, as enzymes with high Topt values are desired for enhanced reaction rates.
Tome (Temperature optima for microorganisms and enzymes) is an open source suite for two fundamental applications: predict the optimal growth temperature from proteome sequences. get enzymes that have a temperature optima in a specified range for a given EC number or CAZy family ID.
The optimal growth temperature (OGT) of microorganisms serves as a key indicator for estimating enzyme Topt, reflecting an evolutionary temperature balance between enzyme-catalyzed reactions and the organism’s growth environments.
27 Οκτ 2023 · Here, we introduce DeepTOP, a Graph Convolutional Network for predicting Topt of enzymes by utilizing both protein structure as well as protein sequence features extracted using a pre-trained language model.
6 Ιουν 2024 · In this study, using phosphatase (EC 3.1.3.X) as an example, we constructed a machine learning model utilizing amino acid frequency and protein molecular weight information as features and employing the K-nearest neighbors regression algorithm to predict the Topt of enzymes.
18 Σεπ 2024 · Here, authors propose GraphEC, a geometric graph learning-based EC number predictor to identify unannotated enzyme functions, predict their active sites, and determine their optimal pH.
A predictor of enzyme optimal temperature. Contribute to SizheQiu/Seq2Topt development by creating an account on GitHub.
