Machine learning approaches to predict drug efficacy and toxicity in oncology
BA Badwan, G Liaropoulos, E Kyrodimos, D Skaltsas… - Cell reports …, 2023 - cell.com
In recent years, there has been a surge of interest in using machine learning algorithms
(MLAs) in oncology, particularly for biomedical applications such as drug discovery, drug …
(MLAs) in oncology, particularly for biomedical applications such as drug discovery, drug …
Acquisition of regulator on virulence plasmid of hypervirulent Klebsiella allows bacterial lifestyle switch in response to iron
Hypervirulent Klebsiella pneumoniae causes liver abscess and potentially devastating
metastatic complications. The majority of Klebsiella-induced liver abscess are caused by the …
metastatic complications. The majority of Klebsiella-induced liver abscess are caused by the …
A pocket-based 3D molecule generative model fueled by experimental electron density
L Wang, R Bai, X Shi, W Zhang, Y Cui, X Wang… - Scientific reports, 2022 - nature.com
We report for the first time the use of experimental electron density (ED) as training data for
the generation of drug-like three-dimensional molecules based on the structure of a target …
the generation of drug-like three-dimensional molecules based on the structure of a target …
On knowing a gene: A distributional hypothesis of gene function
As words can have multiple meanings that depend on sentence context, genes can have
various functions that depend on the surrounding biological system. This pleiotropic nature …
various functions that depend on the surrounding biological system. This pleiotropic nature …
Learning protein fitness landscapes with deep mutational scanning data from multiple sources
One of the key points of machine learning-assisted directed evolution (MLDE) is the
accurate learning of the fitness landscape, a conceptual mapping from sequence variants to …
accurate learning of the fitness landscape, a conceptual mapping from sequence variants to …
[HTML][HTML] HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence
RNA-binding proteins (RBPs) control RNA metabolism to orchestrate gene expression and,
when dysfunctional, underlie human diseases. Proteome-wide discovery efforts predict …
when dysfunctional, underlie human diseases. Proteome-wide discovery efforts predict …
Computational Prediction of Structure, Function, and Interaction of Myzus persicae (Green Peach Aphid) Salivary Effector Proteins
T Waksman, E Astin, SR Fisher… - Molecular Plant …, 2024 - Am Phytopath Society
Similar to plant pathogens, phloem-feeding insects such as aphids deliver effector proteins
inside their hosts that act to promote host susceptibility and enable feeding and infestation …
inside their hosts that act to promote host susceptibility and enable feeding and infestation …
Comprehensive functional annotation of metagenomes and microbial genomes using a deep learning-based method
Comprehensive protein function annotation is essential for understanding microbiome-
related disease mechanisms in the host organisms. However, a large portion of human gut …
related disease mechanisms in the host organisms. However, a large portion of human gut …
Large-scale clustering of AlphaFold2 3D models shines light on the structure and function of proteins
Two recent studies exploited ultra-fast structural aligners and deep-learning approaches to
cluster the protein structure space in the AlphaFold Database. Barrio-Hernandez et al. 1 and …
cluster the protein structure space in the AlphaFold Database. Barrio-Hernandez et al. 1 and …
Molecular characterization of two new alternaviruses identified in members of the fungal family Nectriaceae
TP Pielhop, C Popp, S Fricke, D Knierim… - Archives of …, 2023 - Springer
Since the first report in 2009, at least ten additional viruses have been identified and
assigned to the proposed virus family Alternaviridae. Here we report two new mycoviruses …
assigned to the proposed virus family Alternaviridae. Here we report two new mycoviruses …