AptaDB: a comprehensive database integrating aptamer-target interactions.

RNA

Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China

Published: February 2024


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Aptamers have emerged as research hotspots of the next generation due to excellent performance benefits and application potentials in pharmacology, medicine, and analytical chemistry. Despite the numerous aptamer investigations, the lack of comprehensive data integration has hindered the development of computational methods for aptamers and the reuse of aptamers. A public access database named AptaDB, derived from experimentally validated data manually collected from the literature, was hence developed, integrating comprehensive aptamer-related data, which include six key components: (i) experimentally validated aptamer-target interaction information, (ii) aptamer property information, (iii) structure information of aptamer, (iv) target information, (v) experimental activity information, and (vi) algorithmically calculated similar aptamers. AptaDB currently contains 1350 experimentally validated aptamer-target interactions, 1230 binding affinity constants, 1293 aptamer sequences, and more. Compared to other aptamer databases, it contains twice the number of entries found in available databases. The collection and integration of the above information categories is unique among available aptamer databases and provides a user-friendly interface. AptaDB will also be continuously updated as aptamer research evolves. We expect that AptaDB will become a powerful source for aptamer rational design and a valuable tool for aptamer screening in the future. For access to AptaDB, please visit http://lmmd.ecust.edu.cn/aptadb/.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10870366PMC
http://dx.doi.org/10.1261/rna.079784.123DOI Listing

Publication Analysis

Top Keywords

experimentally validated
12
aptamer
9
aptamer-target interactions
8
validated aptamer-target
8
aptamer databases
8
aptadb will
8
aptadb
6
aptadb comprehensive
4
comprehensive database
4
database integrating
4

Similar Publications

Study Objective: Accurately predicting which Emergency Department (ED) patients are at high risk of leaving without being seen (LWBS) could enable targeted interventions aimed at reducing LWBS rates. Machine Learning (ML) models that dynamically update these risk predictions as patients experience more time waiting were developed and validated, in order to improve the prediction accuracy and correctly identify more patients who LWBS.

Methods: The study was deemed quality improvement by the institutional review board, and collected all patient visits to the ED of a large academic medical campus over 24 months.

View Article and Find Full Text PDF

Kinship verification via correlation calculation-based multi-task learning.

PLoS One

September 2025

School of Computer Science and Technology, Huaiyin Normal University, Huai'an, Jiangsu, China.

Previous studies have demonstrated that metric learning approaches yield remarkable performance in the field of kinship verification. Nevertheless, a prevalent limitation of most existing methods lies in their over-reliance on learning exclusively from specified types of given kin data, which frequently results in information isolation. Although generative-based metric learning methods present potential solutions to this problem, they are hindered by substantial computational costs.

View Article and Find Full Text PDF

Loss of Health-Related Quality of Life Among Hospitalized Children With Respiratory Syncytial Virus and Their Caregivers.

Pediatr Infect Dis J

September 2025

From the Paediatric Emergency Service and Infectious Diseases Unit, Hospital Pediátrico de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.

Background And Objectives: Respiratory syncytial virus (RSV) is recognized as a major cause of wintertime illness in children. Two forms of immunization to protect infants against severe infection have recently been approved. Information on the effects of infections on health-related quality of life (HRQoL) supports well-informed policy decisions.

View Article and Find Full Text PDF

Transposing intensive care innovation from modern warfare to other resource-limited settings.

Eur J Trauma Emerg Surg

September 2025

French Military Medical Service Academy - École du Val-de-Grâce, Paris, France.

Background: Delivering intensive care in conflict zones and other resource-limited settings presents unique clinical, logistical, and ethical challenges. These contexts, characterized by disrupted infrastructure, limited personnel, and prolonged field care, require adapted strategies to ensure critical care delivery under resource-limited settings.

Objective: This scoping review aims to identify and characterize medical innovations developed or implemented in recent conflicts that may be relevant and transposable to intensive care units operating in other resource-limited settings.

View Article and Find Full Text PDF

Aims/hypothesis: Unimolecular peptides targeting the receptors for glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP) and glucagon (GCG) have been shown to improve glycaemic management in both mice and humans. Yet the identity of the downstream signalling events mediated by these peptides remain to be elucidated. Here, we aimed to assess the mechanisms by which a validated peptide triagonist for GLP-1/GIP/GCG receptors (IUB447) stimulates insulin secretion in murine pancreatic islets.

View Article and Find Full Text PDF