Webb10 dec. 2024 · We present a novel sequence-based thermophilic protein predictor, termed SCMTPP, for improving model predictability and interpretability. First, an up-to-date and high-quality dataset... Webb25 nov. 2024 · Here we propose a method to predict protein thermostability using convolutional neural networks based on an in-depth study of thermostability-related …
Evaluating Protein Engineering Thermostability Prediction Tools …
Webb20 mars 2024 · Evaluating Protein Engineering Thermostability Prediction Tools Using an Independently Generated Dataset. Engineering proteins to enhance thermal stability is a … Webb4 nov. 2024 · ProTstab method has high performance and is well suited for large scale prediction of protein stabilities. Conclusions The Pearson’s correlation coefficient was 0.793 in 10-fold cross validation and 0.763 in independent blind test. The corresponding values for mean absolute error are 0.024 and 0.036, respectively. acwa pcapp
A Machine Learning Study on the Thermostability Prediction of (R) …
Webb11 apr. 2024 · The thermostability of κ-carrageenase was evaluated by measuring the residual activity after exposure to various temperatures (40–60 °C) for 40 min. The half‐life ( t1/2) of the enzyme activity was determined by monitoring the residual activity over the time of incubation at 50 °C. The enzyme activity without the treatment was defined as … Webb28 mars 2024 · ABSTRACT Reliable prediction of protein thermostability from its sequence is valuable for both academic and industrial research. This prediction problem can be … Webb4 juni 2024 · It is significant to find a rule for acquiring protein thermostability. The careful inspection of the predicted amino-acid combinations (Fig. 5 a, Table S8) and the … acwa region 10