Bioinformatics

ImputeCoVNet: 2D ResNet Autoencoder for Imputation of SARS-CoV-2 Sequences

1. Ahmad Pesaranghader
2. Justin Pelletier
3. Jean-Christophe Grenier
4. Raphaёl Poujol
5. Julie Hussin

Reviewed by ScreenIT

But Mouse, you are not alone : On some severe acute respiratory syndrome coronavirus 2 variants infecting mice

1. Michael J. Kuiper
2. Laurence OW Wilson
3. Shruthi Mangalaganesh
4. Carol Lee
5. Daniel Reti
6. Seshadri S Vasan

Reviewed by ScreenIT

Llamanade: An open-source computational pipeline for robust nanobody humanization

1. Zhe Sang
2. Yufei Xiang
3. Ivet Bahar
4. Yi Shi

Reviewed by ScreenIT

Learning torus PCA based classification for multiscale RNA backbone structure correction with application to SARS-CoV-2

1. Henrik Wiechers
2. Benjamin Eltzner
3. Kanti V. Mardia
4. Stephan F. Huckemann

Reviewed by ScreenIT

RETRACTED: Analysis of 329,942 SARS-CoV-2 records retrieved from GISAID database

1. Maria Zelenova
2. Anna Ivanova
3. Semyon Semyonov
4. Yuriy Gankin

Reviewed by ScreenIT

GlycoSHIELD: a versatile pipeline to assess glycan impact on protein structures

1. Michael Gecht
2. Sören von Bülow
3. Camille Penet
4. Gerhard Hummer
5. Cyril Hanus
6. Mateusz Sikora

Reviewed by ScreenIT

PARROT is a flexible recurrent neural network framework for analysis of large protein datasets

1. Daniel Griffith
2. Alex S Holehouse

• Curated by eLife

  Evaluation Summary:

  The authors report a user-friendly software package (PARROT) that allows non-experts to use machine learning approaches to analyze high-throughput experiments on proteins. This package will allow more scientists to apply these powerful machine learning methods, thus increasing our ability to understand the chemistry and biological function of proteins.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #2 agreed to share their name with the authors.)

Reviewed by eLife

Allosteric perspective on the mutability and druggability of the SARS-CoV-2 Spike protein

1. Zhen Wah Tan
2. Wei-Ven Tee
3. Firdaus Samsudin
4. Enrico Guarnera
5. Peter J. Bond
6. Igor N. Berezovsky

Reviewed by ScreenIT

Identification and Characterization of Novel Mutants of Nsp13 Protein among Indian SARS-CoV-2 Isolates

1. Deepa Kumari
2. Namrata Kumari
3. Sudhir Kumar
4. Prabhat Kumar Sinha
5. Shivendra Kumar Shahi
6. Nihar Ranjan Biswas
7. Abhay Kumar

Reviewed by ScreenIT

Computational analysis of B cell receptor repertoires in COVID-19 patients using deep embedded representations of protein sequences

1. Inyoung Kim
2. Sang Yoon Byun
3. Sangyeup Kim
4. Sangyoon Choi
5. Jinsung Noh
6. Junho Chung
7. Byung Gee Kim

Reviewed by ScreenIT