IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-43696-z.html
   My bibliography  Save this article

CurveCurator: a recalibrated F-statistic to assess, classify, and explore significance of dose–response curves

Author

Listed:
  • Florian P. Bayer

    (Technical University of Munich)

  • Manuel Gander

    (Technical University of Munich)

  • Bernhard Kuster

    (Technical University of Munich
    Partner Site Munich)

  • Matthew The

    (Technical University of Munich)

Abstract

Dose-response curves are key metrics in pharmacology and biology to assess phenotypic or molecular actions of bioactive compounds in a quantitative fashion. Yet, it is often unclear whether or not a measured response significantly differs from a curve without regulation, particularly in high-throughput applications or unstable assays. Treating potency and effect size estimates from random and true curves with the same level of confidence can lead to incorrect hypotheses and issues in training machine learning models. Here, we present CurveCurator, an open-source software that provides reliable dose-response characteristics by computing p-values and false discovery rates based on a recalibrated F-statistic and a target-decoy procedure that considers dataset-specific effect size distributions. The application of CurveCurator to three large-scale datasets enables a systematic drug mode of action analysis and demonstrates its scalable utility across several application areas, facilitated by a performant, interactive dashboard for fast data exploration.

Suggested Citation

  • Florian P. Bayer & Manuel Gander & Bernhard Kuster & Matthew The, 2023. "CurveCurator: a recalibrated F-statistic to assess, classify, and explore significance of dose–response curves," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43696-z
    DOI: 10.1038/s41467-023-43696-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-43696-z
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-43696-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Martin Frejno & Chen Meng & Benjamin Ruprecht & Thomas Oellerich & Sebastian Scheich & Karin Kleigrewe & Enken Drecoll & Patroklos Samaras & Alexander Hogrebe & Dominic Helm & Julia Mergner & Jana Zec, 2020. "Proteome activity landscapes of tumor cell lines determine drug responses," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    2. Nils Kurzawa & Isabelle Becher & Sindhuja Sridharan & Holger Franken & André Mateus & Simon Anders & Marcus Bantscheff & Wolfgang Huber & Mikhail M. Savitski, 2020. "A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    3. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J.Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Red, 2012. "Addendum: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 492(7428), pages 290-290, December.
    4. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J. Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Re, 2012. "The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 483(7391), pages 603-607, March.
    5. Smriti Chawla & Anja Rockstroh & Melanie Lehman & Ellca Ratther & Atishay Jain & Anuneet Anand & Apoorva Gupta & Namrata Bhattacharya & Sarita Poonia & Priyadarshini Rai & Nirjhar Das & Angshul Majumd, 2022. "Gene expression based inference of cancer drug sensitivity," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    6. Christian Ritz & Florent Baty & Jens C Streibig & Daniel Gerhard, 2015. "Dose-Response Analysis Using R," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Min Pan & William C. Wright & Richard H. Chapple & Asif Zubair & Manbir Sandhu & Jake E. Batchelder & Brandt C. Huddle & Jonathan Low & Kaley B. Blankenship & Yingzhe Wang & Brittney Gordon & Payton A, 2021. "The chemotherapeutic CX-5461 primarily targets TOP2B and exhibits selective activity in high-risk neuroblastoma," Nature Communications, Nature, vol. 12(1), pages 1-20, December.
    2. Hyeong-Min Lee & William C. Wright & Min Pan & Jonathan Low & Duane Currier & Jie Fang & Shivendra Singh & Stephanie Nance & Ian Delahunty & Yuna Kim & Richard H. Chapple & Yinwen Zhang & Xueying Liu , 2023. "A CRISPR-drug perturbational map for identifying compounds to combine with commonly used chemotherapeutics," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    3. Seungyeul Yoo & Abhilasha Sinha & Dawei Yang & Nasser K. Altorki & Radhika Tandon & Wenhui Wang & Deebly Chavez & Eunjee Lee & Ayushi S. Patel & Takashi Sato & Ranran Kong & Bisen Ding & Eric E. Schad, 2022. "Integrative network analysis of early-stage lung adenocarcinoma identifies aurora kinase inhibition as interceptor of invasion and progression," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    4. Alon Stern & Mariam Fokra & Boris Sarvin & Ahmad Abed Alrahem & Won Dong Lee & Elina Aizenshtein & Nikita Sarvin & Tomer Shlomi, 2023. "Inferring mitochondrial and cytosolic metabolism by coupling isotope tracing and deconvolution," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    5. Yanli Liu & Zhong Wu & Jin Zhou & Dinesh K. A. Ramadurai & Katelyn L. Mortenson & Estrella Aguilera-Jimenez & Yifei Yan & Xiaojun Yang & Alison M. Taylor & Katherine E. Varley & Jason Gertz & Peter S., 2021. "A predominant enhancer co-amplified with the SOX2 oncogene is necessary and sufficient for its expression in squamous cancer," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    6. Sayantani Ghosh Dastidar & Bony Kumar & Bo Lauckner & Damien Parrello & Danielle Perley & Maria Vlasenok & Antariksh Tyagi & Nii Koney-Kwaku Koney & Ata Abbas & Sergei Nechaev, 2023. "Transcriptional responses of cancer cells to heat shock-inducing stimuli involve amplification of robust HSF1 binding," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Sumana Srivatsa & Hesam Montazeri & Gaia Bianco & Mairene Coto-Llerena & Mattia Marinucci & Charlotte K. Y. Ng & Salvatore Piscuoglio & Niko Beerenwinkel, 2022. "Discovery of synthetic lethal interactions from large-scale pan-cancer perturbation screens," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    8. Cemal Erdem & Sean M. Gross & Laura M. Heiser & Marc R. Birtwistle, 2023. "MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    9. Guidantonio Malagoli Tagliazucchi & Anna J. Wiecek & Eloise Withnell & Maria Secrier, 2023. "Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    10. Philip East & Gavin P. Kelly & Dhruva Biswas & Michela Marani & David C. Hancock & Todd Creasy & Kris Sachsenmeier & Charles Swanton & Julian Downward & Sophie de Carné Trécesson, 2022. "RAS oncogenic activity predicts response to chemotherapy and outcome in lung adenocarcinoma," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    11. Caterina Bartolacci & Cristina Andreani & Gonçalo Vale & Stefano Berto & Margherita Melegari & Anna Colleen Crouch & Dodge L. Baluya & George Kemble & Kurt Hodges & Jacqueline Starrett & Katerina Poli, 2022. "Targeting de novo lipogenesis and the Lands cycle induces ferroptosis in KRAS-mutant lung cancer," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    12. Sanju Sinha & Karina Barbosa & Kuoyuan Cheng & Mark D. M. Leiserson & Prashant Jain & Anagha Deshpande & David M. Wilson & Bríd M. Ryan & Ji Luo & Ze’ev A. Ronai & Joo Sang Lee & Aniruddha J. Deshpand, 2021. "A systematic genome-wide mapping of oncogenic mutation selection during CRISPR-Cas9 genome editing," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    13. Zheqi Li & Olivia McGinn & Yang Wu & Amir Bahreini & Nolan M. Priedigkeit & Kai Ding & Sayali Onkar & Caleb Lampenfeld & Carol A. Sartorius & Lori Miller & Margaret Rosenzweig & Ofir Cohen & Nikhil Wa, 2022. "ESR1 mutant breast cancers show elevated basal cytokeratins and immune activation," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    14. Bingzhen Chen & Wenjuan Zhai & Lingchen Kong, 2022. "Variable selection and collinearity processing for multivariate data via row-elastic-net regularization," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 79-96, March.
    15. Hao Wang & R. Alejandro Sica & Gurbakhash Kaur & Phillip M. Galbo & Zhixin Jing & Christopher D. Nishimura & Xiaoxin Ren & Ankit Tanwar & Bijan Etemad-Gilbertson & Britta Will & Deyou Zheng & David Fo, 2024. "TMIGD2 is an orchestrator and therapeutic target on human acute myeloid leukemia stem cells," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    16. Ozge Saatci & Metin Cetin & Meral Uner & Unal Metin Tokat & Ioulia Chatzistamou & Pelin Gulizar Ersan & Elodie Montaudon & Aytekin Akyol & Sercan Aksoy & Aysegul Uner & Elisabetta Marangoni & Mathew S, 2023. "Toxic PARP trapping upon cAMP-induced DNA damage reinstates the efficacy of endocrine therapy and CDK4/6 inhibitors in treatment-refractory ER+ breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    17. Tanaz Sharifnia & Mathias J. Wawer & Amy Goodale & Yenarae Lee & Mariya Kazachkova & Joshua M. Dempster & Sandrine Muller & Joan Levy & Daniel M. Freed & Josh Sommer & Jérémie Kalfon & Francisca Vazqu, 2023. "Mapping the landscape of genetic dependencies in chordoma," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    18. Julia Joung & Paul C. Kirchgatterer & Ankita Singh & Jang H. Cho & Suchita P. Nety & Rebecca C. Larson & Rhiannon K. Macrae & Rebecca Deasy & Yuen-Yi Tseng & Marcela V. Maus & Feng Zhang, 2022. "CRISPR activation screen identifies BCL-2 proteins and B3GNT2 as drivers of cancer resistance to T cell-mediated cytotoxicity," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    19. Ming Tang & Hussein A. Abbas & Marcelo V. Negrao & Maheshwari Ramineni & Xin Hu & Shawna Marie Hubert & Junya Fujimoto & Alexandre Reuben & Susan Varghese & Jianhua Zhang & Jun Li & Chi-Wan Chow & Xiz, 2021. "The histologic phenotype of lung cancers is associated with transcriptomic features rather than genomic characteristics," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    20. Kosuke Yamaguchi & Xiaoying Chen & Brianna Rodgers & Fumihito Miura & Pavel Bashtrykov & Frédéric Bonhomme & Catalina Salinas-Luypaert & Deis Haxholli & Nicole Gutekunst & Bihter Özdemir Aygenli & Lau, 2024. "Non-canonical functions of UHRF1 maintain DNA methylation homeostasis in cancer cells," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43696-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.