Drug-induced torsadogenicity prediction model: An explainable machine learning-driven quantitative structure-toxicity relationship approach

被引:1
|
作者
Kelleci Çelik, Feyza [1 ]
Doğan, Seyyide [2 ]
Karaduman, Gül [3 ]
机构
[1] Karamanoğlu Mehmetbey University, Vocational School of Health Services, Karaman,70200, Turkey
[2] Karamanoğlu Mehmetbey University, Faculty of Economics and Administrative Science, Karaman,70200, Turkey
[3] Karamanoğlu Mehmetbey University, Department of Mathematics, Karaman,70100, Turkey
关键词
D O I
10.1016/j.compbiomed.2024.109209
中图分类号
学科分类号
摘要
75
引用
收藏
相关论文
共 50 条
  • [21] Machine learning-driven approach to quantify the beach susceptibility to storm-induced erosion
    Thilakarathne, Salika
    Suzuki, Takayuki
    Mall, Martin
    COASTAL ENGINEERING JOURNAL, 2024, 66 (02) : 216 - 233
  • [22] Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach
    Shah, Akash A.
    Devana, Sai K.
    Lee, Changhee
    Bugarin, Amador
    Lord, Elizabeth L.
    Shamie, Arya N.
    Park, Don Y.
    van der Schaar, Mihaela
    SooHoo, Nelson F.
    WORLD NEUROSURGERY, 2021, 152 : E227 - E234
  • [23] Toward a globally lunar calendar: a machine learning-driven approach for crescent moon visibility prediction
    Loucif, Samia
    Al-Rajab, Murad
    Abu Zitar, Raed
    Rezk, Mahmoud
    JOURNAL OF BIG DATA, 2024, 11 (01)
  • [24] Exploring the Relationship of Drug-Induced Neutrophil Immaturity & Haematological Toxicity to Drug Chemistry Using Quantitative Structure-Activity Models
    Delieu, J. M.
    Horobin, R. W.
    Duguid, J. K.
    MEDICINAL CHEMISTRY, 2009, 5 (01) : 7 - 14
  • [25] In silico prediction of drug-induced ototoxicity using machine learning and deep learning methods
    Huang, Xin
    Tang, Fang
    Hua, Yuqing
    Li, Xiao
    CHEMICAL BIOLOGY & DRUG DESIGN, 2021, 98 (02) : 248 - 257
  • [27] Machine Learning-Driven Prediction, Preparation, and Evaluation of Functional Nanomedicines Via Drug-Drug Self-Assembly
    Zhang, Chengyuan
    Yuan, Yuchuan
    Xia, Qiong
    Wang, Junjie
    Xu, Kangkang
    Gong, Zhiwei
    Lou, Jie
    Li, Gen
    Wang, Lu
    Zhou, Li
    Liu, Zhirui
    Luo, Kui
    Zhou, Xing
    ADVANCED SCIENCE, 2025, 12 (09)
  • [28] Machine Learning-Driven Drug Discovery: Prediction of Structure-Cytotoxicity Correlation Leads to Identification of Potential Anti-Leukemia Compounds
    Li, Zishen
    Lam, Yun Wah
    Liu, Qi
    Lau, Alison Y. K.
    Au-Yeung, Ho Yu
    Chan, Rosa H. M.
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 5464 - 5467
  • [29] Multi-criteria optimization of nanofluid-based solar collector for enhanced performance: An explainable machine learning-driven approach
    Sankar, Anjana
    Gupta, Kritesh Kumar
    Bhalla, Vishal
    Pandey, Daya Shankar
    ENERGY, 2025, 320
  • [30] Prediction Model of Clearance by a Novel Quantitative Structure-Activity Relationship Approach, Combination DeepSnap-Deep Learning and Conventional Machine Learning
    Mamada, Hideaki
    Nomura, Yukihiro
    Uesawa, Yoshihiro
    ACS OMEGA, 2021, 6 (36): : 23570 - 23577