PTM
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Related Articles from SNS
CLASPP: A unified model for predicting post-translational modifications
Post-Translational Modifications (PTMs) are a fundamental mechanism for regulating cellular pathways and increasing the functional diversity of the proteome. Accurately predicting the PTM types that are likely to occur at a given site in the primary sequence is a key challenge in functional proteomics. Existing PTM prediction models predominantly focus on either single PTM types or employ ensemble methods that combine multiple models to predict different PTM types.
Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning
Announce Type: replace Abstract: In Continual Learning (CL), using a Pre-Trained Model (PTM) as the feature extractor has become a popular practice. Accompanied by analytic classifiers, the PTM-based methods have achieved state-of-the-art performance in CL, in pursuit of the non-forgetting goal. Meanwhile, actively forgetting specific knowledge acquired during the CL phase is also essential in most service construction paradigms, for example, Mobile Crowd Sensing (MCS), where mobile edge...
Watch: Massive dust wall engulfs Jaisalmer, darkens skies
A massive dust whirlwind swept through the border and canal regions of Rajasthan's Jaisalmer district on Sunday, disrupting normal life in Ramgarh, Mohangarh, PTM town, Nachna and several nearby areas. The whirlwind reportedly originated near the India-Pakistan border and quickly spread across the region, covering the sky with thick dust and reducing visibility. The dust cloud was so dense that daylight briefly gave way to conditions resembling darkness.
PAD2 knockout reduces myelin protein aggregates, modulates neuroinflammation and protects motor neurons, axons and neuromuscular junction in a SOD1-ALS mouse model
Background: Dysregulated peptidyl deiminase 2 (PAD2) and aberrant protein citrullination (PC), a posttranslational modification (PTM), are involved in various inflammatory and neurodegenerative diseases. We previously showed in transgenic mice and postmortem human tissues that PC and PAD2 are altered in amyotrophic lateral sclerosis (ALS), a neurodegenerative disease characterized by motor neurons loss, paralysis, and death. Herein, we investigated the role of PAD2 in ALS by PAD2 knockout in...
Molecular Basis of Histone H3 Reading and Writing by Legionella pneumophila SET Domain Lysine Methyltransferases
RomA and its highly conserved strain ortholog LegAS4 are SET and ankyrin domain-containing effector proteins of the intracellular bacterial pathogen Legionella pneumophila. These enzymes are secreted into host cells, where they translocate to the nucleus and methylate Lys14 in histone H3 (H3K14), a novel post-translation modification (PTM) that reprograms gene expression and promotes bacterial replication. To elucidate their H3K14 substrate specificity, we determined the crystal structures...
Diverse binding poses of agonistic neurotoxins on human Na<sub>v</sub>1.6
Abstract Voltage-gated sodium (Nav) channels are key targets of various venomous toxins. Deciphering the binding poses and mechanisms of action of representative toxins will help to dissect the functional mechanism of the channels and facilitate therapeutic development targeting Nav channels1,2. Here we present cryo-electron microscopy (cryo-EM) structures of distinct binding poses of three agonistic peptide toxins on the human Nav1.6–β1 channel complex.
Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent
arXiv:2606.01816v1 Announce Type: cross Abstract: Selecting where to intervene on a protein (i.e., choosing a targetable site) is often a more ambiguous and failure-prone bottleneck than selecting what binds, especially for membrane proteins where accessibility, topology, and post-translational modifications (PTMs) constrain actionable regions. We present Site4Drug, a modality-aware site-finding agent that outputs a ranked list of targetable regions with explicit constraints, evidence...