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In the Age of Machine Learning Cryo-EM Research is Still Necessary: A Path toward Precision Medicine.
Stephens, Dominique C; Crabtree, Amber; Beasley, Heather K; Garza-Lopez, Edgar; Mungai, Margaret; Vang, Larry; Neikirk, Kit; Vue, Zer; Vue, Neng; Marshall, Andrea G; Turner, Kyrin; Shao, Jian-Qiang; Sarker, Bishnu; Murray, Sandra; Gaddy, Jennifer A; Hinton, Antentor O; Damo, Steven; Davis, Jamaine.
Afiliación
  • Stephens DC; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
  • Crabtree A; Department of Life and Physical Sciences, Fisk University, Nashville, TN, 37232, USA.
  • Beasley HK; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
  • Garza-Lopez E; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
  • Mungai M; Department of Internal Medicine, University of Iowa, Iowa City, IA, 52242, USA.
  • Vang L; Department of Internal Medicine, University of Iowa, Iowa City, IA, 52242, USA.
  • Neikirk K; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
  • Vue Z; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
  • Vue N; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
  • Marshall AG; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
  • Turner K; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
  • Shao JQ; Department of Life and Physical Sciences, Fisk University, Nashville, TN, 37232, USA.
  • Sarker B; Central Microscopy Research Facility, University of Iowa, Iowa City, IA, 52242, USA.
  • Murray S; School of Applied Computational Sciences, Meharry Medical College, Nashville, TN, 37208, USA.
  • Gaddy JA; Department of Cell Biology, College of Medicine, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
  • Hinton AO; Division of Infectious Diseases, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA.
  • Damo S; U.S. Department of Veterans Affairs, Tennessee Valley Healthcare Systems, Nashville, TN, 37212, USA.
  • Davis J; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, 37232, USA.
Adv Biol (Weinh) ; 7(8): e2300122, 2023 08.
Article en En | MEDLINE | ID: mdl-37246245
Machine learning has proven useful in analyzing complex biological data and has greatly influenced the course of research in structural biology and precision medicine. Deep neural network models oftentimes fail to predict the structure of complex proteins and are heavily dependent on experimentally determined structures for their training and validation. Single-particle cryogenic electron microscopy (cryoEM) is also advancing the understanding of biology and will be needed to complement these models by continuously supplying high-quality experimentally validated structures for improvements in prediction quality. In this perspective, the significance of structure prediction methods is highlighted, but the authors also ask, what if these programs cannot accurately predict a protein structure important for preventing disease? The role of cryoEM is discussed to help fill the gaps left by artificial intelligence predictive models in resolving targetable proteins and protein complexes that will pave the way for personalized therapeutics.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Medicina de Precisión Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Biol (Weinh) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania
Texto completo
Añadir a Mi BVS
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Medicina de Precisión Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Biol (Weinh) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania