Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
No abstract available
Article activity feed
-
-
SciScore for 10.1101/2021.01.28.428521: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Antibodies Sentences Resources Joint model consisting of the neural network derived antibody-escape phenotypes: The spike RBD binding affinity was jointly modeled using the convolutional neural network derived (i.e., estimated, mutation-mediated) antibody-escape phenotypes for the ten Abs. antibody-escapesuggested: NoneSoftware and Algorithms Sentences Resources Protein sequence encoding and structural description: AAindex is a resource of 566 physicochemical properties (e.g., polarizability parameter, residue volume, solvation free energy, and other attributes) for each of the 20 amino acids35. AAindexsuggested: NoneNeural networks … SciScore for 10.1101/2021.01.28.428521: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Antibodies Sentences Resources Joint model consisting of the neural network derived antibody-escape phenotypes: The spike RBD binding affinity was jointly modeled using the convolutional neural network derived (i.e., estimated, mutation-mediated) antibody-escape phenotypes for the ten Abs. antibody-escapesuggested: NoneSoftware and Algorithms Sentences Resources Protein sequence encoding and structural description: AAindex is a resource of 566 physicochemical properties (e.g., polarizability parameter, residue volume, solvation free energy, and other attributes) for each of the 20 amino acids35. AAindexsuggested: NoneNeural networks were implemented using TensorFlow. TensorFlowsuggested: (tensorflow, RRID:SCR_016345)Results from OddPub: Thank you for sharing your code.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
-
-
-