Systems Biology

Complexity in SARS-CoV-2 genome data: Price theory of mutant isolates

1. Saurav Mandal
2. R.K. Sanayaima Singh
3. Saurabh Kumar Sharma
4. Md. Zubbair Malik
5. R.K. Brojen Singh

Reviewed by ScreenIT

Network controllability enrichment analysis reveals that SARS-CoV-2 infection tends to target indispensable nodes of a directed human protein-protein interaction network

1. Ho-Joon Lee

Reviewed by ScreenIT

Machine Learning Identifies Ponatinib as a Potent Inhibitor of SARS-CoV2-induced Cytokine Storm

1. Marina Chan
2. Siddharth Vijay
3. M. Juliana McElrath
4. Eric C. Holland
5. Taranjit S Gujral

Reviewed by ScreenIT

Predicting hosts based on early SARS-CoV-2 samples and analyzing the 2020 pandemic

1. Qian Guo
2. Mo Li
3. Chunhui Wang
4. Jinyuan Guo
5. Xiaoqing Jiang
6. Jie Tan
7. Shufang Wu
8. Peihong Wang
9. Tingting Xiao
10. Man Zhou
11. Zhencheng Fang
12. Yonghong Xiao
13. Huaiqiu Zhu

Reviewed by ScreenIT

Mechanistic modeling of the SARS-CoV-2 and immune system interplay unravels design principles for diverse clinicopathological outcomes

1. Sarthak Sahoo
2. Kishore Hari
3. Siddharth Jhunjhunwala
4. Mohit Kumar Jolly

Reviewed by ScreenIT

Integrative transcriptomic analysis of tissue-specific metabolic crosstalk after myocardial infarction

1. Muhammad Arif
2. Martina Klevstig
3. Rui Benfeitas
4. Stephen Doran
5. Hasan Turkez
6. Mathias Uhlén
7. Maryam Clausen
8. Johannes Wikström
9. Damla Etal
10. Cheng Zhang
11. Malin Levin
12. Adil Mardinoglu
13. Jan Boren

• Curated by eLife

  Evaluation Summary:

  This paper will be of considerable interest to researchers studying the interactions between metabolic responses in myocardial infarction. Ultimately increased understanding of these interactive metabolic responses could lead to exploration of new avenues of treatment.

  (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 and Reviewer #2 agreed to share their names with the authors.)

Reviewed by eLife

Quantifying absolute gene expression profiles reveals distinct regulation of central carbon metabolism genes in yeast

1. Rosemary Yu
2. Egor Vorontsov
3. Carina Sihlbom
4. Jens Nielsen

Reviewed by eLife

The circadian oscillator analysed at the single‐transcript level

1. Nicholas E Phillips
2. Alice Hugues
3. Jake Yeung
4. Eric Durandau
5. Damien Nicolas
6. Felix Naef

Reviewed by Review Commons

Modulation of flight and feeding behaviours requires presynaptic IP3Rs in dopaminergic neurons

1. Anamika Sharma
2. Gaiti Hasan

Reviewed by eLife

Lysine and Arginine Protein Post-translational Modifications by Enhanced DIA Libraries: Quantification in Murine Liver Disease

1. Aaron E. Robinson
2. Aleksandra Binek
3. Vidya Venkatraman
4. Brian C. Searle
5. Ronald J. Holewinski
6. George Rosenberger
7. Sarah J. Parker
8. Nathan Basisty
9. Xueshu Xie
10. Peder J. Lund
11. Gautam Saxena
12. José M. Mato
13. Benjamin A. Garcia
14. Birgit Schilling
15. Shelly C. Lu
16. Jennifer E. Van Eyk

Reviewed by eLife