Aptamer 学术简报 — infectious_disease — 2026-10-21

自动生成 by RBTX Aptamer Tracker v0.1。 子主题 infectious_disease：近 14 天 10 篇命中（aptamer 池 175 篇）。

评分公式：composite = 0.45×log(IF) + 0.35×log(cites_velocity) + 0.10×social + 0.10×recency_bonus；满分 100。

#1 [12.3] Aptamer-Based Fluorescent Assays for Detection of the Host-Response Viral Biomarker 3′-Deoxy-3′,4′-Didehydro-Cytidine

Abstract Improved viral diagnostics are urgently needed to strengthen pandemic preparedness and combat antimicrobial resistance, highlighting the importance of 3′-deoxy-3′,4′-didehydro-cytidine (ddhC), a host-derived, pan-viral biomarker that addresses key limitations of PCR-based diagnostics. Current methods for ddhC measurement rely on liquid ...

#2 [11.5] Structure-Guided Optimization of a LipL32-Targeting DNA Aptamer through Molecular Dynamics and Free-Energy Analysis

Abstract Accurate detection of leptospirosis requires high-affinity recognition of the conserved LipL32 biomarker. Although LipL32-targeting DNA aptamers have been identified through systematic evolution of ligands by exponential enrichment (SELEX), the molecular basis of their target recognition remains unclear, limiting rational post-SELEX opt...

#3 [11.2] Recognition–decision–execution: a new design principle for intelligent antimicrobial systems

The continued rise of antimicrobial resistance highlights fundamental limitations of prevailing antibacterial strategies, which remain largely dominated by continuous, non-directed killing. Although combination therapies and multifunctional materials are frequently described as synergistic, many reported effects primarily reflect pharmacokinetic...

#4 [10.2] Aptamer-CRISPR/Cas as a tool in point-of-care testing of infectious diseases.

Aptamers and the CRISPR/Cas system have become the cornerstones of target detections due to their numerous advantages. Aptamers enable direct recognition of non-nucleic acid targets, such as pathogens and antigens, while CRISPR/Cas system drives signal amplification and rapid detection. The combined aptamer-CRISPR/Cas system can overcome the lim...

#5 [8.0] Programmable design of functional RNAs through multimodal generative learning

RNA engineering is bottlenecked by the tight coupling among sequence, structure, and function, leaving the field reliant on heuristics or screening. We introduce RNAverse, a multimodal generative model that learns a conditionable design grammar from RNA sequences, experimental structural probing profiles, and functional annotations. Beyond setti...

#6 [7.3] Chromogenic and FRET peptide substrates, quantum‐dot peptide conjugates and electrochemical peptide interfaces: A 25‐year journey from combinatorial chemistry to clinical readouts—A viewpoint

This Viewpoint synthesises 25 years of work from a single laboratory on activity‐based protease sensing and offers a critical appraisal of where each of the three resulting platforms stands today. The activity of proteolytic enzymes—rather than their abundance—determines the outcome of inflammation, tumour progression, viral entry and barrier dy...

#7 [6.3] Computationally Guided Design and Experimental Validation of ssDNA Aptamers Targeting the SARS-CoV-2 Spike Protein

Aptamer development has traditionally relied on iterative, labor-intensive experimental approaches. Recent advances in bioinformatics and computational power now enable the rational in silico design of high-affinity nucleic acid ligands, drastically reducing time and cost. Here, we present an integrated computational pipeline for designing ssDNA...

#8 [5.3] Multiplexed Aptamer-Based Proteomic Data Normalization (Adaptive Normalization by Maximum Likelihood) Significantly Influences Results in Critically Ill Patients.

BACKGROUND: Blood-based proteomics are employed in cohorts of patients with critical illness to provide biologic insights and improve diagnosis and risk stratification. Somalogic developed a multiplex aptamer-based platform (Somascan) with thousands of proteins assayed in a single plasma sample. Results are reported in 2 forms: (a) adaptive norm...

#9 [5.3] Achieving near single-molecule sensitivity in separation-free protein detection using engineered kinetic proofreading

Unlike nucleic acids, proteins cannot be directly amplified. Ultrasensitive detection must therefore couple efficient analyte-to-signal conversion with strong suppression of target-independent background. Consistently detecting ~100 molecules (below which Poisson sampling noise alone causes CV to exceed 10%) across protein targets in a format as...

Methodology