The LightDock Server: Artificial Intelligence-powered modeling of macromolecular interactions

被引:7
|
作者
Jimenez-Garcia, Brian [1 ]
Roel-Touris, Jorge [2 ]
Barradas-Bautista, Didier [3 ]
机构
[1] Zymvol Biomodeling, Pau Claris 94 3B, Barcelona 08010, Spain
[2] CSIC, Mol Biol Inst Barcelona IBMB, Dept Struct Biol, Prot Design & Modeling Lab, Baldiri Reixac 15, Barcelona 08028, Spain
[3] King Abdullah Univ Sci & Technol KAUST, Core lab Div, Kaust Visualizat Lab, Thuwal 239556900, Saudi Arabia
基金
欧盟地平线“2020”;
关键词
WEB SERVER; PROTEIN; PREDICTION; REGIONS;
D O I
10.1093/nar/gkad327
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Computational docking is an instrumental method of the structural biology toolbox. Specifically, integrative modeling software, such as LightDock, arise as complementary and synergetic methods to experimental structural biology techniques. Ubiquitousness and accessibility are fundamental features to promote ease of use and to improve user experience. With this goal in mind, we have developed the LightDock Server, a web server for the integrative modeling of macromolecular interactions, along with several dedicated usage modes. The server builds upon the LightDock macromolecular docking framework, which has proved useful for modeling medium-to-high flexible complexes, antibody-antigen interactions, or membrane-associated protein assemblies. We believe that this free-to-use resource will be a valuable addition to the structural biology community and can be accessed online at:
引用
收藏
页码:W298 / W304
页数:7
相关论文
共 50 条
  • [1] Artificial intelligence-powered electronic skin
    Xu, Changhao
    Solomon, Samuel A.
    Gao, Wei
    [J]. NATURE MACHINE INTELLIGENCE, 2023, 5 (11) : 1344 - 1355
  • [2] Artificial intelligence-powered electronic skin
    Changhao Xu
    Samuel A. Solomon
    Wei Gao
    [J]. Nature Machine Intelligence, 2023, 5 : 1344 - 1355
  • [3] Cost Optimization of Dorzagliatin Using Artificial Intelligence-Powered Population Modeling
    Bennett, Brittany
    Allen, Sydney
    Eilerman, Bradley
    Testa, Leonard J.
    [J]. DIABETES, 2019, 68
  • [4] The Seductive Allure of Artificial Intelligence-Powered Neurotechnology
    Giattino, Charles M.
    Kwong, Lydia
    Rafetto, Chad
    Farahany, Nita A.
    [J]. AIES '19: PROCEEDINGS OF THE 2019 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, 2019, : 397 - 402
  • [5] Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine
    Krittanawong, Chayakrit
    Aydar, Mehmet
    Virk, Hafeez Ul Hassan
    Kumar, Anirudh
    Kaplin, Scott
    Guimaraes, Lucca
    Wang, Zhen
    Halperin, Jonathan L.
    [J]. CANADIAN JOURNAL OF CARDIOLOGY, 2022, 38 (02) : 185 - 195
  • [6] Artificial Intelligence-Powered Surgical Consent: Patient Insights
    Teasdale, Alex
    Mills, Laura
    Costello, Rhodri
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (08)
  • [7] Artificial intelligence-powered microfluidics for nanomedicine and materials synthesis
    Liu, Linbo
    Bi, Mingcheng
    Wang, Yunhua
    Liu, Junfeng
    Jiang, Xiwen
    Xu, Zhongbin
    Zhang, Xingcai
    [J]. NANOSCALE, 2021, 13 (46) : 19352 - 19366
  • [8] Artificial Intelligence-Powered Worker Engagement in Software Crowdsourcing
    Wang, Junjie
    Yang, Ye
    Wang, Qing
    [J]. IEEE SOFTWARE, 2020, 37 (06) : 94 - 98
  • [9] Artificial Intelligence-Powered DigitalTwins for Sustainable and Resilient Engineering Structures
    Tang, X.
    Heng, J.
    Kaewunruen, S.
    Dai, K.
    Baniotopoulos, C.
    [J]. BAUINGENIEUR, 2024, 99 (09): : 270 - 276
  • [10] The Role of Artificial Intelligence-Powered Imaging in Cerebrovascular Accident Detection
    Hastings, Natasha
    Samuel, Dany
    Ansari, Aariz N.
    Kaurani, Purvi
    Winston, J. Jenkin
    Bhandary, Vaibhav S.
    Gautam, Prabin
    Purayil, Afsal Latheef Tayyil
    Hassan, Taimur
    Eshwar, Mummareddi Dinesh
    Nuthalapati, Bala Sai Teja
    Pothuri, Jeevan Kumar
    Ali, Noor
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (05)