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AiGPro: a multi-tasks model for profiling of GPCRs for agonist and antagonist.
J Cheminform
January 2025
School of Systems Biomedical Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, 06978, Seoul, Republic of Korea.
G protein-coupled receptors (GPCRs) play vital roles in various physiological processes, making them attractive drug discovery targets. Meanwhile, deep learning techniques have revolutionized drug discovery by facilitating efficient tools for expediting the identification and optimization of ligands. However, existing models for the GPCRs often focus on single-target or a small subset of GPCRs or employ binary classification, constraining their applicability for high throughput virtual screening.
View Article and Find Full Text PDFThe psychometric properties of the child anxiety and depression life interference scale (CADLIS).
Child Adolesc Psychiatry Ment Health
January 2025
Black Dog Institute, University of New South Wales, Sydney, NSW, 2031, Australia.
Objective: Life interference is a key diagnostic feature for anxiety and depressive disorders. Measures focusing on life interference caused by anxiety and depressive disorders in children and adolescents have received minimal attention. This study evaluated the psychometric properties of the Child Anxiety and Depression Life Interference Scale (CADLIS), a brief child (CADLIS-C) and parent-report (CADLIS-P) measure designed to assess life interference from anxiety and depressive disorders in both the child and parent's life.
View Article and Find Full Text PDFExplore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
View Article and Find Full Text PDFResistance-breaking strains of tomato spotted wilt virus hamper photosynthesis and protein synthesis pathways in a virus accumulation-dependent manner in Sw5-carrying tomatoes.
Sci Rep
January 2025
Istituto per la Protezione Sostenibile delle Piante, Consiglio Nazionale delle Ricerche, via Amendola 165/A, 70126, Bari, Italy.
Tomato spotted wilt virus (TSWV; Orthotospovirus tomatomaculae) is one of the major horticultural threats due to its worldwide distribution and broad host range. In Italy, TSWV is widely spread in tomato (Solanum lycopersicum) crops and causes severe yield losses. In the last decades, several tomato varieties carrying the Sw-5b gene for resistance to TSWV have been released.
View Article and Find Full Text PDFPhenotypic outcomes of PKD1 compared with non-PKD1 genetically confirmed autosomal dominant polycystic kidney disease.
J Nephrol
January 2025
Department of Nephrology and Transplantation, Beaumont Hospital, Dublin, Ireland.
Background: Autosomal Dominant Polycystic Kidney Disease (ADPKD) represents the most common monogenic cause of kidney failure. While identifying genetic variants predicts disease progression, characterization of recently described ADPKD-like variants is limited. We explored disease progression and genetic spectrum of genetically-confirmed ADPKD families with PKD1 and non-PKD1 variants.
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