Nov 11, 2019 · In this study, we proposed a new CPP prediction framework, which integrates four amino acid composition features, and utilizes these features to ...

Nov 20, 2019 · These results suggest that the framework can orchestrate various amino acid composition features predicted models flexibly with good.

In this study, we proposed a new CPP prediction framework, which integrates four amino acid composition features, and utilizes these features to help train ...

Apr 7, 2021 · This is the first comprehensive analysis to predict synthetic and natural CPP structures and to evaluate their chemical space using an ML-based framework.

Improved Prediction of Cell-Penetrating Peptides via Effective Orchestrating Amino Acid Composition Feature Representation ... Authors: Xiangzheng Fu; Lixia Ke ...

In this study, we proposed a new CPP prediction framework, which integrates four amino acid composition features, and utilizes these features to help train ...

A two-layer prediction framework called machine-learning-based prediction of cell-penetrating peptides (MLCPP) is developed that will become a valuable tool ...

A new CPP prediction framework is proposed, which integrates four amino acid composition features, and utilizes these features to help train Support Vector ...

Apr 5, 2018 · Improved Prediction of Cell-Penetrating Peptides via Effective Orchestrating Amino Acid Composition Feature Representation. IEEE Access 2019 ...

Improved Prediction of Cell-Penetrating Peptides via Effective Orchestrating Amino Acid Composition Feature Representation. IEEE Access 2019, 7, 163547 ...