Challenges and opportunities in machine learning-guided plant protein engineering

被引：0
|
作者：
Shukla, Diwakar [1 ]
机构：
[1] Univ Illinois, Urbana, IL USA
来源：
BIOPHYSICAL JOURNAL | 2024年 / 123卷 / 03期
关键词：
D O I：
暂无
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
2541-Symp
引用
收藏
页码：455A / 455A
页数：1
相关论文
共 50 条
  • [31] Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
    Greenhalgh, Jonathan C.
    Fahlberg, Sarah A.
    Pfleger, Brian F.
    Romero, Philip A.
    NATURE COMMUNICATIONS, 2021, 12 (01)
  • [32] Development of a Novel Sparse Labeling Method by Machine Learning-Guided Engineering of Cre-lox Recombination
    Yamauchi, Yuji
    Matsukura, Hidenori
    Ueda, Mitsuyoshi
    Aoki, Wataru
    FASEB JOURNAL, 2021, 35
  • [33] Metabolic reprogramming and machine learning-guided cofactor engineering to boost nicotinamide mononucleotide production in Escherichia coli
    Xiong, Bo
    Yang, Tianrui
    Zhang, Zixiong
    Li, Xiang
    Yu, Huan
    Wang, Lian
    You, Zixuan
    Peng, Wenbin
    Jin, Luyu
    Song, Hao
    BIORESOURCE TECHNOLOGY, 2025, 426
  • [34] Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation
    Narayanan, Harini
    Dingfelder, Fabian
    Butte, Alessandro
    Lorenzen, Nikolai
    Sokolov, Michael
    Arosio, Paolo
    TRENDS IN PHARMACOLOGICAL SCIENCES, 2021, 42 (03) : 151 - 165
  • [35] Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer
    Howard, Frederick Matthew
    Kochanny, Sara
    Koshy, Matthew
    Spiotto, Michael
    Pearson, Alexander T.
    JAMA NETWORK OPEN, 2020, 3 (11)
  • [36] Machine learning-guided synthesis of nanomaterials for breast cancer therapy
    Zhou, Kun
    Tian, Baoxing
    Lu, Ji
    Dong, Bing
    Xu, Han
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [37] Machine-learning-guided directed evolution for protein engineering
    Yang, Kevin K.
    Wu, Zachary
    Arnold, Frances H.
    NATURE METHODS, 2019, 16 (08) : 687 - 694
  • [38] Machine-learning-guided directed evolution for protein engineering
    Kevin K. Yang
    Zachary Wu
    Frances H. Arnold
    Nature Methods, 2019, 16 : 687 - 694
  • [39] Machine learning-guided malate dehydrogenase engineering for improved production of L-malic acid in Aspergillus niger
    Zhang, Zihan
    Zheng, Yuanyuan
    Zhang, Chi
    Xu, Qing
    Xue, Feng
    MOLECULAR CATALYSIS, 2025, 578
  • [40] Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering
    Ding, Kerr
    Chin, Michael
    Zhao, Yunlong
    Huang, Wei
    Mai, Binh Khanh
    Wang, Huanan
    Liu, Peng
    Yang, Yang
    Luo, Yunan
    NATURE COMMUNICATIONS, 2024, 15 (01)
12345