Systems Biology

Analysis of changes occurring in Codon Positions due to mutations through the cellular automata transition rules

1. Antara Sengupta
2. Sreeya Ghosh
3. Pabitra Pal Choudhury

Reviewed by ScreenIT

Executable network of SARS-CoV-2-host interaction predicts drug combination treatments

1. Rowan Howell
2. Matthew A. Clarke
3. Ann-Kathrin Reuschl
4. Tianyi Chen
5. Sean Abbott-Imboden
6. Mervyn Singer
7. David M. Lowe
8. Clare L. Bennett
9. Benjamin Chain
10. Clare Jolly
11. Jasmin Fisher

Reviewed by ScreenIT

Tissue Specific Age Dependence of the Cell Receptors Involved in the SARS-CoV-2 Infection

1. Christian V. Forst
2. Lu Zeng
3. Qian Wang
4. Xianxiao Zhou
5. Sezen Vatansever
6. Zhidong Tu
7. Bin Zhang

Reviewed by ScreenIT

Transcriptomics-inferred dynamics of SARS-CoV-2 interactions with host epithelial cells

1. Lukas Adam
2. Megan Stanifer
3. Fabian Springer
4. Jan Mathony
5. Maik Brune
6. Chiara Di Ponzio
7. Roland Eils
8. Steeve Boulant
9. Dominik Niopek
10. Stefan M. Kallenberger

Reviewed by ScreenIT

Growth-rate-dependent and nutrient-specific gene expression resource allocation in fission yeast

1. Istvan T Kleijn
2. Amalia Martínez-Segura
3. François Bertaux
4. Malika Saint
5. Holger Kramer
6. Vahid Shahrezaei
7. Samuel Marguerat

Reviewed by Review Commons

Two different cell-cycle processes determine the timing of cell division in Escherichia coli

1. Alexandra Colin
2. Gabriele Micali
3. Louis Faure
4. Marco Cosentino Lagomarsino
5. Sven van Teeffelen

• Curated by eLife

  Evaluation Summary:

  How the bacterium E.coli decides when to divide is an interesting, important, unsolved and highly controversial topic of interest to readers across disciplines, including microbiology, cell biology and statistical physics. Popular "single process" models invoke regulation at the step of replication initiation or at the step of cell division per se, whereas these authors have previously proposed a "concurrent cycles" model in which both processes are relevant, with different prominences in different situations. Consistent with the authors' motivating hypothesis, in the particular perturbed condition investigated in this work, a process different from DNA replication becomes increasingly important for division control as the degree of perturbation increases, which provides a new challenge to models for cell division control.

  (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 and Reviewer #3 agreed to share their names with the authors.)

Reviewed by eLife

Systematic genome-scale identification of host factors for SARS-CoV-2 infection across models yields a core single gene dependency; ACE2

1. Katherine Chan
2. Adrian Granda Farias
3. Hunsang Lee
4. Furkan Guvenc
5. Patricia Mero
6. Kamaldeep Aulakh
7. Kevin R. Brown
8. Shahan Haider
9. Edyta Marcon
10. Ulrich Braunschweig
11. Amy Hin Yan Tong
12. Shuye Pu
13. Andrea Habsid
14. Natasha Christie-Holmes
15. Patrick Budylowski
16. Audrey Astori
17. Ayoob Ghalami
18. Samira Mubareka
19. Arinjay Banerjee
20. Karen L. Mossman
21. Jack Greenblatt
22. Scott D. Gray-Owen
23. Brian Raught
24. Benjamin J. Blencowe
25. Mikko Taipale
26. Jason Moffat

Reviewed by ScreenIT

Dynamically linking influenza virus infection kinetics, lung injury, inflammation, and disease severity

1. Margaret A Myers
2. Amanda P Smith
3. Lindey C Lane
4. David J Moquin
5. Rosemary Aogo
6. Stacie Woolard
7. Paul Thomas
8. Peter Vogel
9. Amber M Smith

• Curated by eLife

  Evaluation Summary:

  This is an interesting synthesis of iterative model development and experimental work in an influenza model of infection in mice. The work is quite groundbreaking in the field as it is the first to use models to link dynamics of lung viral load, infected cells, inflammation, virus-specific CD8+ T cells, bystander CD8+ T cells, and disease status. The paper suggests that CD8+ T cells are vital for elimination of infected cells but can also contribute directly to lung damage and disease severity.

  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 #1 agreed to share their name with the authors.)

Reviewed by eLife

Anti-SARS-CoV-2 potential of Cissampelos pareira L. identified by connectivity map-based analysis and in vitro studies

1. Madiha Haider
2. Vivek Anand
3. M. Ghalib Enayathullah
4. Yash Parekh
5. Sushma Ram
6. Surekha Kumari
7. Anmol
8. Gayatri Panda
9. Manjari Shukla
10. Dhwani Dholakia
11. Arjun Ray
12. Sudipta Bhattacharyya
13. Upendra Sharma
14. Kiran Kumar Bokara
15. Bhavana Prasher
16. Mitali Mukerji

Reviewed by ScreenIT

E156G and Arg158, Phe-157/del mutation in NTD of spike protein in B.1.617.2 lineage of SARS-CoV-2 leads to immune evasion through antibody escape

1. Armi M Chaudhari
2. Dinesh Kumar
3. Madhvi Joshi
4. Amrutlal Patel
5. Chaitanya Joshi

Reviewed by ScreenIT