Improve Research Reproducibility A Bio-protocol resource
Concise Method
tooltip

SGnn Implementation

VI Valentín Iglesias
JS Jaime Santos
JS Juan Santos-Suárez
CP Carlos Pintado-Grima
SV Salvador Ventura
request Request a Protocol
ask Ask a question
Favorite

For each input PrLD sequence, SGnn calculates AGGRESCAN aggregation propensity, NCPR, and Cysteine percentage. AGGRESCAN “Na4vSS” scores include positive and negative values; therefore, these were normalized between the most and least aggregation-prone natural PrLD (Supplementary Table S1) to feed the neural network only with positive aggregation propensity-values. Finally, the obtained numerical results are fed to the FFNN, which establishes a binary outcome.

Copyright and License information:  ©2021 Iglesias, Santos, Santos-Suárez, Pintado-Grima and Ventura.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

0/150

tip Tips for asking effective questions

+ Description

Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.

post Post a Question
0 Q&A