AIMC Topic: Biological Products

Clear Filters Showing 1 to 10 of 134 articles

BGC-MAC and BGC-MAP: Attention-Based Models for Biosynthetic Gene Cluster Classification and Product Matching.

Journal of chemical information and modeling
Natural products, synthesized via enzymes encoded by biosynthetic gene clusters (BGCs), represent a major source of therapeutic agents. Accurate BGC annotation is essential to unlocking the vast potential of natural product diversity. However, BGC an...

Recent strategies and methodological advances for microbial natural product research in the post-genomics era.

Archives of microbiology
Microorganisms remain a prolific source of bioactive compounds, yet discovery efforts are often hindered by traditional methods and the repeated isolation of known molecules. In the post-genomics era, advances in genome mining and multi-omics technol...

MSformer: A Meta-Structure Based Interpretable Framework for Representation Learning of Natural Products.

Analytical chemistry
Natural products (NPs) are a treasure trove of drug discovery, yet their structural complexity and extreme data scarcity critically hinder AI-driven exploration. To address this challenge, we present MSformer, a transformer-based architecture that br...

Progress and Prospects of Transdermal Treatment of Allergic Skin Diseases with Natural Drugs based on Nanotechnology.

AAPS PharmSciTech
Allergic skin disease conditions represent a significant global health challenge, with conventional therapies frequently associated with local dermal irritation and systemic adverse effects. Nanotechnology-enabled transdermal drug delivery platforms ...

Identification of hub necroptosis-related targets and discovery of potential natural inhibitors in ulcerative colitis based on bioinformatics and computer-aided drug design.

Journal of computer-aided molecular design
Ulcerative colitis (UC) is a chronic inflammatory bowel disease with a complex pathogenesis and limited treatment options. Recently, necroptosis has been found to play a significant role in UC. This study aimed to investigate necroptosis-related mech...

Tailored SONAR-MSI: Converting SONAR-MS Data into Pseudoimages for Deep-Learning-Based Natural Products Analysis.

Analytical chemistry
LC-MS has become an essential tool for the analysis of complex samples. However, conventional MS data processing often involves cumbersome workflows and is prone to loss of information, particularly in the context of chemically diverse natural produc...

Rapid Screening and Prioritization of Culture Conditions for Natural Product Discovery using the Liquid Microjunction Surface Sampling Probe.

Journal of the American Society for Mass Spectrometry
The discovery of novel bioactive compounds remains a cornerstone of natural product (NP) chemistry. However, traditional NP discovery workflows are time- and resource-intensive, hindering sustainability and efficiency of multicondition screening proj...

Bayesian Optimization for Efficient Multiobjective Formulation Development of Biologics.

Molecular pharmaceutics
Biologics, including emerging engineered formats, can often exhibit poor developability profiles, complicating their translation into successful therapeutics. While formulation design can substantially mitigate some developability issues, it represen...

Structure based drug design and machine learning approaches for identifying natural inhibitors against the human αβIII tubulin isotype.

Scientific reports
Microtubules (MTs) play a crucial role in mitosis and are composed of α-/β-tubulin heterodimeric subunits. In eukaryotes, eight α-tubulin and ten β-tubulin isotypes have been reported, each displaying tissue-specific expression patterns. Among them, ...

Machine learning-assisted affinity ultrafiltration for bioactive natural products discovery:Application to screening of neuraminidase inhibitors from medicinal herbs.

Analytica chimica acta
BACKGROUND: Bioactive natural products represent a vital resource for combating human diseases. However, their discovery often encounters multiple challenges. Bioactivity-guided isolation can yield bioactive compounds but are labor-intensive and have...