AIMC Topic: Molecular Structure

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AI-driven molecular modeling and design: from property prediction to drug generation.

Journal of computer-aided molecular design
Integrating the techniques of deep learning, particularly graph neural network models, has made a significant advancement in drug discovery by facilitating effective exploration of chemical spaces and precise prediction of molecular properties. This ...

Toward Complete Molecular Structure Prediction from Infrared Spectroscopy Using Deep Learning.

Journal of chemical information and modeling
Infrared (IR) spectroscopy is a broadly used tool to solve the molecular structures of unknown compounds. Though the theory of generating IR spectra from molecules is well established, the inverse problem of solving molecular structures from given sp...

Investigation on the isotopic exchange radiofluorination of the pentafluorosulfanyl group.

Organic & biomolecular chemistry
The pentafluorosulfanyl group (-SF) is one of the most promising fluorinated functional groups, recently developed as an alternative to the trifluoromethyl group (-CF) in drug design. Fluorine-18 allows researchers to investigate activity and biodis...

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...

Drug repurposing identifies novel Wee1 kinase inhibitors for triple negative breast cancer therapeutics.

European journal of medicinal chemistry
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options. Wee1 kinase, a critical regulator of the G2/M checkpoint and DNA replication, is a promising therapeutic target. However, dose dependent as...

4-Hydroxy-2,5-dihydrothiazole derivatives as a new class of small-molecule antibiotics for MRSA: AI-integrated design, chemical synthesis and biological evaluation.

European journal of medicinal chemistry
Staphylococcus aureus (S. aureus) is one of the most concerned Gram-positive bacteria due to its resistance to the commonly used antibiotics, methicillin. To address the threat of methicillin-resistant S. aureus (MRSA), new classes of antibiotics are...

RIGR: Resonance-Invariant Graph Representation for Molecular Property Prediction.

Journal of chemical information and modeling
Many successful machine learning models for molecular property prediction rely on Lewis structure representations, commonly encoded as SMILES strings. However, a key limitation arises with molecules exhibiting resonance, where multiple valid Lewis st...

Identification of a novel Aurora B inhibitor using the AI-driven drug screening and docking-based traditional screening.

Bioorganic & medicinal chemistry
Aurora B, a subtype of Aurora kinases that functions as a serine/threonine kinase, playing a vital role in the process of mitosis, is often overexpressed in certain tumor cells leading to tumorigenesis and progression. Therefore, the development of s...

PyaiVS unifies AI workflows to accelerate ligand discovery and yields ABCG2 inhibitors.

European journal of medicinal chemistry
Developing optimized AI models for virtual screening requires coordinated selection of algorithms, molecular representations, and data splitting strategies, yet lacks integrated tools. We present PyaiVS, a Python package that integrates nine machine ...

HPDAF: A practical tool for predicting drug-target binding affinity using multimodal features.

European journal of medicinal chemistry
Accurate prediction of drug-target binding affinity is crucial for efficient drug discovery and design, enabling researchers to better understand molecular interactions and accelerate the identification of promising drug candidates. Despite recent ad...