Rational design of small focused libraries that are biased toward specific therapeutic targets is currently at the forefront of combinatorial library design. Various structure-based design strategies can be implemented in focused library design when the 3D structure of the target is available through X-ray or NMR determination. This review discusses the major methods and programs specifically developed for the purpose of designing combinatorial libraries under the constraint of the binding site of a biological target, with emphasis on their advantages and disadvantages. Examples of the successful application of these methodologies are highlighted, demonstrating their performances within the practical drug discovery process.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/s1093-3263(01)00147-4 | DOI Listing |
Am J Kidney Dis
January 2025
Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, USA; Northwestern University Transplant Outcomes Research Collaborative, Comprehensive Transplant Center, Feinberg School of Medicine, Chicago, IL, USA; Centre for Patient Reported Outcomes Research, Department of Applied Health Sciences, University of Birmingham, Edgbaston, Birmingham, UK.
Rationale & Objective: Valid measures of side effects are important to inform clinical use of calcineurin inhibitors (CNIs). This study sought to develop and establish the content validity of a PRO measure to capture side effects among kidney transplant recipients taking CNIs.
Study Design: Qualitative interviews for concept elicitation and cognitive debriefing.
Clin Microbiol Infect
January 2025
Clinic for Infectious Diseases and Hospital Hygiene, University Hospital Zurich, Zurich, Switzerland; Faculty of Medicine, University of Zurich, Zurich, Switzerland. Electronic address:
Background: Healthcare-associated infections (HAIs) remain a significant challenge worldwide, and the use of multimodal strategies is recommended by the World Health Organization (WHO) to enhance infection prevention.
Objectives: To update the systematic review on facility-level infection prevention and control (IPC) interventions on the WHO Core Component of using multimodal strategies.
Methods: Data Sources: Medline (via PubMed), EMBASE, CINAHL, and the Cochrane library.
Mol Divers
January 2025
Key Laboratory for Macromolecular Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Molecular Property Prediction (MPP) is a fundamental task in important research fields such as chemistry, materials, biology, and medicine, where traditional computational chemistry methods based on quantum mechanics often consume substantial time and computing power. In recent years, machine learning has been increasingly used in computational chemistry, in which graph neural networks have shown good performance in molecular property prediction tasks, but they have some limitations in terms of generalizability, interpretability, and certainty. In order to address the above challenges, a Multiscale Molecular Structural Neural Network (MMSNet) is proposed in this paper, which obtains rich multiscale molecular representations through the information fusion between bonded and non-bonded "message passing" structures at the atomic scale and spatial feature information "encoder-decoder" structures at the molecular scale; a multi-level attention mechanism is introduced on the basis of theoretical analysis of molecular mechanics in order to enhance the model's interpretability; the prediction results of MMSNet are used as label values and clustered in the molecular library by the K-NN (K-Nearest Neighbors) algorithm to reverse match the spatial structure of the molecules, and the certainty of the model is quantified by comparing virtual screening results across different K-values.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Department of Physics, Alba Nova Research Center, Stockholm University, Stockholm SE-106 91 Sweden.
Iron-doped nickel oxyhydroxides, Ni(Fe)OH, are among the most promising oxygen evolution reaction (OER) electrocatalysts in alkaline environments. Although iron (Fe) significantly enhances the catalytic activity, there is still no clear consensus on whether Fe directly participates in the reaction or merely acts as a promoter. To elucidate the Fe's role, we performed X-ray spectroscopy studies supported by DFT on Ni(Fe)OH electrocatalysts.
View Article and Find Full Text PDFExpert Rev Anti Infect Ther
January 2025
Department of Medical Biostatistics, Soonchunhyang University Hospital, Seoul, Korea.
Background: Tegoprazan (TPZ), a potassium-competitive acid blocker with potent gastric acid-suppressing activity, may be a potential agent for treating Helicobacter pylori infection. The study aimed to evaluate the efficacy of TPZ-based therapy for H. pylori eradication compared with proton pump inhibitor (PPI)-based therapy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!