AI can help to speed up drug discovery - but only if we give it the right data

被引：23
作者：
Mock, Marissa
Edavettal, Suzanne
Langmead, Christopher
Russell, Alan
机构：
来源：
NATURE | 2023年 / 621卷 / 7979期
关键词：
Drug discovery; Machine learning; Research data; Biotechnology;
D O I：
10.1038/d41586-023-02896-9
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Artificial-intelligence tools that enable companies to share data about drug candidates while keeping sensitive information safe can unleash the potential of machine learning and cutting-edge lab techniques, for the common good.
引用
收藏
页码：467 / 470
页数：4
相关论文
共 11 条
  • [1] Bailey M, 2023, bioRxiv, DOI [10.1101/2023.07.26.550653, 10.7554/eLife.89679.2, DOI 10.7554/ELIFE.89679.2]
  • [2] Multispecific drugs herald a new era of biopharmaceutical innovation
    Deshaies, Raymond J.
    [J]. NATURE, 2020, 580 (7803) : 329 - 338
  • [3] Achieving end-to-end success in the clinic: Pfizer's learnings on R&D productivity
    Fernando, Kathy
    Menon, Sandeep
    Jansen, Kathrin
    Naik, Prakash
    Nucci, Gianluca
    Roberts, John
    Wu, Shuang Sarah
    Dolsten, Mikael
    [J]. DRUG DISCOVERY TODAY, 2022, 27 (03) : 697 - 704
  • [4] Heyndrickx W., 2022, ChemRxiv, DOI [10.26434/chemrxiv-2022-ntd3r, DOI 10.26434/CHEMRXIV-2022-NTD3R]
  • [5] Biophysical properties of the clinical-stage antibody landscape
    Jain, Tushar
    Sun, Tingwan
    Durand, Stephanie
    Hall, Amy
    Houston, Nga Rewa
    Nett, Juergen H.
    Sharkey, Beth
    Bobrowicz, Beata
    Caffry, Isabelle
    Yu, Yao
    Cao, Yuan
    Lynaugh, Heather
    Brown, Michael
    Baruah, Hemanta
    Gray, Laura T.
    Krauland, Eric M.
    Xu, Yingda
    Vasquez, Maximiliano
    Wittrup, K. Dane
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (05) : 944 - 949
  • [6] Artificial intelligence in drug development: present status and future prospects
    Mak, Kit-Kay
    Pichika, Mallikarjuna Rao
    [J]. DRUG DISCOVERY TODAY, 2019, 24 (03) : 773 - 780
  • [7] Observed Antibody Space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences
    Olsen, Tobias H.
    Boyles, Fergus
    Deane, Charlotte M.
    [J]. PROTEIN SCIENCE, 2022, 31 (01) : 141 - 146
  • [8] Five computational developability guidelines for therapeutic antibody profiling
    Raybould, Matthew I. J.
    Marks, Claire
    Krawczyk, Konrad
    Taddese, Bruck
    Nowak, Jaroslaw
    Lewis, Alan P.
    Bujotzek, Alexander
    Shi, Jiye
    Deane, Charlotte M.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (10) : 4025 - 4030
  • [9] Five-Year Outcomes With Pembrolizumab Versus Chemotherapy for Metastatic Non-Small-Cell Lung Cancer With PD-L1 Tumor Proportion Score ≥ 50%
    Reck, Martin
    Rodriguez-Abreu, Delvys
    Robinson, Andrew G.
    Hui, Rina
    Csoszi, Tibor
    Fulop, Andrea
    Gottfried, Maya
    Peled, Nir
    Tafreshi, Ali
    Cuffe, Sinead
    O'Brien, Mary
    Rao, Suman
    Hotta, Katsuyuki
    Leal, Ticiana A.
    Riess, Jonathan W.
    Jensen, Erin
    Zhao, Bin
    Pietanza, M. Catherine
    Brahmer, Julie R.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2021, 39 (21) : 2339 - +
  • [10] The future of digital health with federated learning
    Rieke, Nicola
    Hancox, Jonny
    Li, Wenqi
    Milletari, Fausto
    Roth, Holger R.
    Albarqouni, Shadi
    Bakas, Spyridon
    Galtier, Mathieu N.
    Landman, Bennett A.
    Maier-Hein, Klaus
    Ourselin, Sebastien
    Sheller, Micah
    Summers, Ronald M.
    Trask, Andrew
    Xu, Daguang
    Baust, Maximilian
    Cardoso, M. Jorge
    [J]. NPJ DIGITAL MEDICINE, 2020, 3 (01)
12