[PDF] Evaluation Of The Effectiveness Of Derived Features Of AlphaFold2

Though AlphaFold2 attained considerably high precision protein structure prediction, is reported directly inputting coordinates deep learning networks achieve desirable results downstream tasks. Thus, to process encode predicted results effective forms deep learning models understand improve performance downstream tasks worth .

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Biology | Free Full-Text | Evaluation of the Effectiveness of Derived DOI: 10.3390/biology11101454 Corpus ID: 252776499; Evaluation of the Effectiveness of Derived Features AlphaFold2 Single-Sequence Protein Binding Site Prediction @article{Liu2022EvaluationOT, title={Evaluation the Effectiveness of Derived Features AlphaFold2 Single-Sequence Protein Binding Site Prediction}, author={Zhe Liu Weihao Pan Weihao Li Xu Zhen Jisheng .

Evaluation of effectiveness of three cellulose derivative Furthermore, evaluated effectiveness of derived features a membrane protein-metal binding site dataset reported MPLs-Pred the precision metric. Computational experimental results showed all features helpful protein binding site prediction using deep learning.

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