Systems Biology

  1. Iterative community-driven development of a SARS-CoV-2 tissue simulator

    1. Michael Getz
    2. Yafei Wang
    3. Gary An
    4. Maansi Asthana
    5. Andrew Becker
    6. Chase Cockrell
    7. Nicholson Collier
    8. Morgan Craig
    9. Courtney L. Davis
    10. James R. Faeder
    11. Ashlee N. Ford Versypt
    12. Tarunendu Mapder
    13. Juliano F. Gianlupi
    14. James A. Glazier
    15. Sara Hamis
    16. Randy Heiland
    17. Thomas Hillen
    18. Dennis Hou
    19. Mohammad Aminul Islam
    20. Adrianne L. Jenner
    21. Furkan Kurtoglu
    22. Caroline I. Larkin
    23. Bing Liu
    24. Fiona Macfarlane
    25. Pablo Maygrundter
    26. Penelope A Morel
    27. Aarthi Narayanan
    28. Jonathan Ozik
    29. Elsje Pienaar
    30. Padmini Rangamani
    31. Ali Sinan Saglam
    32. Jason Edward Shoemaker
    33. Amber M. Smith
    34. Jordan J.A. Weaver
    35. Paul Macklin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. A data-driven drug repositioning framework discovered a potential therapeutic agent targeting COVID-19

    1. Yiyue Ge
    2. Tingzhong Tian
    3. Suling Huang
    4. Fangping Wan
    5. Jingxin Li
    6. Shuya Li
    7. Hui Yang
    8. Lixiang Hong
    9. Nian Wu
    10. Enming Yuan
    11. Lili Cheng
    12. Yipin Lei
    13. Hantao Shu
    14. Xiaolong Feng
    15. Ziyuan Jiang
    16. Ying Chi
    17. Xiling Guo
    18. Lunbiao Cui
    19. Liang Xiao
    20. Zeng Li
    21. Chunhao Yang
    22. Zehong Miao
    23. Haidong Tang
    24. Ligong Chen
    25. Hainian Zeng
    26. Dan Zhao
    27. Fengcai Zhu
    28. Xiaokun Shen
    29. Jianyang Zeng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Time-varying transmission dynamics of Novel Coronavirus Pneumonia in China

    1. Tao Liu
    2. Jianxiong Hu
    3. Jianpeng Xiao
    4. Guanhao He
    5. Min Kang
    6. Zuhua Rong
    7. Lifeng Lin
    8. Haojie Zhong
    9. Qiong Huang
    10. Aiping Deng
    11. Weilin Zeng
    12. Xiaohua Tan
    13. Siqing Zeng
    14. Zhihua Zhu
    15. Jiansen Li
    16. Dexin Gong
    17. Donghua Wan
    18. Shaowei Chen
    19. Lingchuan Guo
    20. Yan Li
    21. Limei Sun
    22. Wenjia Liang
    23. Tie Song
    24. Jianfeng He
    25. Wenjun Ma

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Mycobacterial Metabolic Model Development for Drug Target Identification

    1. Bridget P. Bannerman
    2. Alex Oarga
    3. Jorge Júlvez

    • Curated by GigaByte

      Editor’s Assessment

      This work has generated metabolic models for the human pathogens Mycobacterium leprae and Mycobacteroides abscessus, alongside a new computational tool that can be used to identify potential drug targets. The standardised genomic scale metabolic models have been developed using the systems biology community standards for quality control and evaluation of models. After providing more detail on reproducibility, comparative performance of the models, and reuse, these resources are now published and are available for reuse by the global scientific community via the GigaDB, Biomodels, and PatMeDB repositories.

      This assessment refers to version 1 of this preprint.

    Reviewed by GigaByte

    2 evaluationsAppears in 2 listsLatest version Latest activity

  8. A Multiscale Protein Abundance Structured Population Kinetic Model Systematically Explores the Design Space of Constitutive and Inducible CAR-T cells

    1. Harshana Rajakaruna
    2. Milie Desai
    3. Jayajit Das

    Reviewed by Review Commons

    3 evaluationsAppears in 2 listsLatest version Latest activity

  9. Predictive nonlinear modeling of malignant myelopoiesis and tyrosine kinase inhibitor therapy

    1. Jonathan Rodriguez
    2. Abdon Iniguez
    3. Nilamani Jena
    4. Prasanthi Tata
    5. Zhong-Ying Liu
    6. Arthur D Lander
    7. John Lowengrub
    8. Richard A Van Etten

    • Curated by eLife

      eLife assessment

      This is an important study that investigates the impact of tyrosine kinase inhibitors (TKIs) in chronic myeloid leukemia. Through a combination of pre-clinical in vivo measurements, clinical data, and computational modeling, the authors present solid evidence regarding the heterogeneous effects of TKIs in patients and how the response to treatment may be improved. With the assumptions about differences between normal and leukemic cells addressed, this study would be of interest to those working in the fields of mathematical oncology and cancer biology.

    Reviewed by eLife

    4 evaluationsAppears in 1 listLatest version Latest activity

  10. Missense variant interaction scanning reveals a critical role of the FERM domain for tumor suppressor protein NF2 conformation and function

    1. Christina S Moesslacher
    2. Elisabeth Auernig
    3. Jonathan Woodsmith
    4. Andreas Feichtner
    5. Evelyne Jany-Luig
    6. Stefanie Jehle
    7. Josephine M Worseck
    8. Christian L Heine
    9. Eduard Stefan
    10. Ulrich Stelzl

    Reviewed by Review Commons

    4 evaluationsAppears in 1 listLatest version Latest activity
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