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| http://dx.doi.org/10.1007/s13346-022-01209-3 | DOI Listing |
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In silico drug repurposing at the cytoplasmic surface of human aquaporin 1.
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View Article and Find Full Text PDFImproving the Reliability of Language Model-Predicted Structures as Docking Targets through Geometric Graph Learning.
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Hangzhou Carbonsilicon AI Technology Company Limited, Hangzhou 310018, Zhejiang, China.
Applying artificial intelligence techniques to flexibly model the binding between the ligand and protein has attracted extensive interest in recent years, but their applicability remains improved. In this study, we have developed CarsiDock-Flex, a novel two-step flexible docking paradigm that generates binding poses directly from predicted structures. CarsiDock-Flex consists of an equivariant deep learning-based model termed CarsiInduce to refine ESMFold-predicted protein pockets with the induction of specific ligands and our existing CarsiDock algorithm to redock the ligand into the induced binding pockets.
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Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
Recent statistical approaches have shown that the set of all available genetic variants explains considerably more phenotypic variance of complex traits and diseases than the individual variants that are robustly associated with these phenotypes. However, rapidly increasing sample sizes constantly improve detection and prioritization of individual variants driving the associations between genomic regions and phenotypes. Therefore, it is useful to routinely estimate how much phenotypic variance the detected variants explain for each region by taking into account the correlation structure of variants and the uncertainty in their causal status.
View Article and Find Full Text PDFFalse-Negative Review from the Mammography Audit: Refining Breast Imaging Practice.
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From the Washington University School of Medicine, Mallinckrodt Institute of Radiology, 510 S Kingshighway Blvd, St. Louis, MO 63110.
Annual review of false-negative (FN) mammograms is a mandatory and critical component of the Mammography Quality Standards Act (MQSA) annual mammography audit. FN review can help hone reading skills and improve the ability to detect cancers at mammography. Subtle architectural distortion, asymmetries (seen only on one view), small lesions, lesions with probably benign appearance (circumscribed regular borders), isolated microcalcifications, and skin thickening are the most common mammographic findings when the malignancy is visible at retrospective review of FN mammograms.
View Article and Find Full Text PDFRevitalizing Vision: Eye Drops and Corneal Limbal Stem Cells Survival.
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Student Research Committee, School of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.
In the quest to transform vision care, researchers have been investigating novel methods to boost the efficacy of eye drops and enhance the survival of corneal limbal stem cells. Aimed at rejuvenating vision, these innovations seek to tackle a range of ocular conditions and restore sight to those in need. This article examines the most recent advancements in eye drops and corneal limbal stem cells, highlighting their potential to revolutionize ophthalmology.
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