A comprehensive review of generative AI in healthcare
Y Shokrollahi, S Yarmohammadtoosky… - arXiv preprint arXiv …, 2023 - arxiv.org
The advancement of Artificial Intelligence (AI) has catalyzed revolutionary changes across
various sectors, notably in healthcare. Among the significant developments in this field are …
various sectors, notably in healthcare. Among the significant developments in this field are …
[HTML][HTML] A large expert-curated cryo-EM image dataset for machine learning protein particle picking
Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the structures of
biological macromolecular complexes. Picking single-protein particles from cryo-EM …
biological macromolecular complexes. Picking single-protein particles from cryo-EM …
CryoTransformer: a transformer model for picking protein particles from Cryo-EM micrographs
Motivation Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the
structures of large protein complexes. Picking single protein particles from cryo-EM …
structures of large protein complexes. Picking single protein particles from cryo-EM …
Machine learning for predicting protein properties: A comprehensive review
Y Wang, Y Zhang, X Zhan, Y He, Y Yang, L Cheng… - Neurocomputing, 2024 - Elsevier
In the field of protein engineering, the function and structure of proteins are key to
understanding cellular mechanisms, biological evolution, and biodiversity. With the …
understanding cellular mechanisms, biological evolution, and biodiversity. With the …
[HTML][HTML] Integration of pre-trained protein language models into geometric deep learning networks
Geometric deep learning has recently achieved great success in non-Euclidean domains,
and learning on 3D structures of large biomolecules is emerging as a distinct research area …
and learning on 3D structures of large biomolecules is emerging as a distinct research area …
[HTML][HTML] Cryo2structdata: A large labeled cryo-em density map dataset for ai-based modeling of protein structures
The advent of single-particle cryo-electron microscopy (cryo-EM) has brought forth a new
era of structural biology, enabling the routine determination of large biological molecules …
era of structural biology, enabling the routine determination of large biological molecules …
[HTML][HTML] De novo atomic protein structure modeling for cryo-em density maps using 3d transformer and hidden markov model
Accurately building three-dimensional (3D) atomic structures from 3D cryo-electron
microscopy (cryo-EM) density maps is a crucial step in the cryo-EM-based determination of …
microscopy (cryo-EM) density maps is a crucial step in the cryo-EM-based determination of …
[HTML][HTML] CryoPPP: a large expert-labelled cryo-EM image dataset for machine learning protein particle picking
Cryo-electron microscopy (cryo-EM) is currently the most powerful technique for determining
the structures of large protein complexes and assemblies. Picking single-protein particles …
the structures of large protein complexes and assemblies. Picking single-protein particles …
[HTML][HTML] Guiding a language-model based protein design method towards MHC Class-I immune-visibility targets in vaccines and therapeutics
Proteins have an arsenal of medical applications that include disrupting protein interactions,
acting as potent vaccines, and replacing genetically deficient proteins. While therapeutics …
acting as potent vaccines, and replacing genetically deficient proteins. While therapeutics …
Accurate prediction of protein tertiary structural changes induced by single-site mutations with equivariant graph neural networks
Predicting the change of protein tertiary structure caused by singlesite mutations is important
for studying protein structure, function, and interaction. Even though computational protein …
for studying protein structure, function, and interaction. Even though computational protein …