Machine-learning approach for in silico prediction of lipid-based nanoparticles self-assembly

被引：0
|
作者：
Selwa, Edithe [1 ]
Iorga, Bogdan [1 ]
机构：
[1] CNRS, Inst Chim Subst Nat, UPR 2301, LabEx,LERMIT, Gif Sur Yvette, France
来源：
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY | 2019年 / 258卷
关键词：
D O I：
暂无
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
108
引用
收藏
页数：1
相关论文
共 50 条
  • [31] In Silico Prediction of CYP2C8 Inhibition with Machine-Learning Methods
    Zhang, Xiaoxiao
    Zhao, Piaopiao
    Wang, Zhiyuan
    Xu, Xuan
    Liu, Guixia
    Tang, Yun
    Li, Weihua
    CHEMICAL RESEARCH IN TOXICOLOGY, 2021, 34 (08) : 1850 - 1859
  • [32] In silico prediction of drug-induced rhabdomyolysis with machine-learning models and structural alerts
    Cui, Xueyan
    Liu, Juan
    Zhang, Jinfeng
    Wu, Qiuyun
    Li, Xiao
    JOURNAL OF APPLIED TOXICOLOGY, 2019, 39 (08) : 1224 - 1232
  • [33] Self-assembly of supramolecular lipid nanoparticles in the formation of plant biopolyester cutin
    Dominguez, Eva
    Alejandro Heredia-Guerrero, Jose
    Jesus Benitez, Jose
    Heredia, Antonio
    MOLECULAR BIOSYSTEMS, 2010, 6 (06) : 948 - 950
  • [34] Self-assembly of anionic, ligand-coated nanoparticles in lipid membranes
    Angelikopoulos, Panagiotis
    Sarkisov, Lev
    Cournia, Zoe
    Gkeka, Paraskevi
    NANOSCALE, 2017, 9 (03) : 1040 - 1048
  • [35] Analysis of Self-Assembly Pathways with Unsupervised Machine Learning Algorithms
    Adorf, Carl S.
    Moore, Timothy C.
    Melle, Yannah J. U.
    Glotzer, Sharon C.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2020, 124 (01): : 69 - 78
  • [36] A Machine-learning based Unbiased Phishing Detection Approach
    Shirazi, Hossein
    Zweigle, Landon
    Ray, Indrakshi
    PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS (SECRYPT), VOL 1, 2020, : 423 - 430
  • [37] Automotive Feature Coordination based on a Machine-Learning Approach
    Dominka, Sven
    Tabrizi, Sarah
    Mandl, Michael
    Duebner, Michael
    2021 IEEE 11TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2021, : 726 - 731
  • [38] Parametrization of Sunspot Groups Based on Machine-Learning Approach
    Illarionov, Egor
    Tlatov, Andrey
    SOLAR PHYSICS, 2022, 297 (02)
  • [39] Parametrization of Sunspot Groups Based on Machine-Learning Approach
    Egor Illarionov
    Andrey Tlatov
    Solar Physics, 2022, 297
  • [40] A new approach of clustering based machine-learning algorithm
    Al-Omary, Alauddin Yousif
    Jamil, Mohammad Shahid
    KNOWLEDGE-BASED SYSTEMS, 2006, 19 (04) : 248 - 258
12345