ArticleOpen life sciences2026
Computational approaches for the identification of potential HDAC2 inhibitors and histamine H3 receptor antagonists from
Article in Open life sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Autism spectrum disorder (ASD) encompasses early emerging deficits in repetitive sensory-motor behaviors and social communication. Rooted in a solid genetic foundation, ASD exhibits diversity among individuals but consistently manifests core features in restricted repetitive behaviors and social communication. ASD originates from early neural reorganization and alterations in brain development, forming a spectrum from mild to severe. The economic burden of ASD is substantial, driven by the ongoing need for assistance in adulthood. Histone deacetylase (HDAC) modulation, including HDAC2, influences ASD traits. Interest in HDAC modulation has led to the FDA approval of drugs that show promise. Additionally, studies suggest histamine, a CNS neurotransmitter, and H3R antagonism may impact social behavior in ASD. Recognizing the significance of HDAC2 and H3R, we conducted virtual screening of phytocompounds from
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