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This study conducted an in silico evaluation of Korean herbal compounds against key targets involved in androgenetic alopecia, finding Biochanin A, Saponin Re, and Emodin as promising candidates for topical treatments, but highlighting safety and topical formulation challenges.

This study identified Saponin Re and Emodin as top candidates for treating androgenetic alopecia, suggesting future research in dermal papilla cell cultures and scalp organoids despite safety concerns.

This study reported that the Computational Analysis of Novel Drug Opportunities platform effectively uses integrated biological data, including side effects and pathways, to generate potential drug candidates for colon cancer and migraine disorders.

This article updates a prior work on pharmacophore modeling and highlights the advances in 3D database searching technologies for drug design, without presenting new research findings.

This study introduces MicrobeFDT, a tool that clusters chemically similar compounds and links them to gut microbial enzymes and toxicities, demonstrating its utility by uncovering previously unknown metabolism of the cancer drug altretamine.

This article proposes a strategy for identifying bioactive, small molecule, metallo-species in Traditional Chinese Medicine to explore their potential for drug development, but reports no new results.

This paper discusses a structure-based analysis to find new BRD4 inhibitors, identifying finasteride and amentoflavone as promising candidates for BET inhibition.

This article introduces signatureSearch, a software package designed for gene expression signature searching and functional enrichment analysis, but reports no new clinical results.

This article discusses the MendelVar webserver, which integrates Mendelian disease data with GWAS findings to prioritize candidate genes for complex traits and reports no new experimental results.

In this study, researchers identified six novel prognostic biomarkers for bladder cancer and developed a predictive model that effectively stratifies patients into high-risk and low-risk groups based on immune cell infiltration differences and gene expression.

This study introduced rPanglaoDB, an R package that facilitates the integration of public scRNA-seq datasets to effectively characterize rare cell types, exemplified by generating the first unbiased transcriptome profile of fibrocytes.

This article describes how PESCADOR software assists in creating detailed biological pathway charts from PubMed abstracts, focusing on hair and breast development case studies without providing new clinical results.

This study introduced a pre-formal ontology matching approach using 39 identified dimensions to integrate drug information, improving database normalization and supporting complex use cases.

In this first-in-human study, BLZ-100, an intraoperative fluorescent imaging agent, was administered to 21 patients before skin cancer surgery and was found to be well tolerated without serious adverse effects, suggesting its potential to help distinguish cancerous from non-cancerous tissue based on fluorescence.

In this study, researchers introduced a machine learning approach to discover new nanozymes through the DiZyme platform, enabling the accurate prediction of multiple catalytic activities, and providing a comprehensive database and assistant resources for users.

This study found that certain molecular quantum descriptors can be directly correlated with the biological activity of benzo[c]quinolizin-3-ones, potentially aiding in the identification and design of active compounds.

This chapter discusses the synthesis and analysis of near-infrared fluorescent activity-based probes for imaging cysteine protease activity, reporting potential benefits for disease diagnosis but noting challenges in imaging specific locations with high cathepsin activity.

This review discusses the evolution of Cereblon ligands in PROTAC technology, highlighting chemical innovations that may enhance drug-likeness and applicability in protein degradation, while noting challenges and future research directions.

This study reports on a new semantic annotation approach used to identify substances in MEDLINE abstracts responsible for adverse drug reactions, with promising performance shown by a prototype system.

This study presents a new method called scMC that effectively distinguishes biological from technical variation in single-cell genomics datasets, demonstrating its ability to accurately align and detect biological signals across various experiments.

This article reviews analysis techniques in LC-MS/MS and discusses the potential use of a novel in-sample calibration curve method, but reports no new experimental results.

This phase II trial found that BI 2536 demonstrated limited antitumor activity across five solid tumor types, with no confirmed objective responses observed.

In this study, the 40-MBR system was shown to enhance drug-screening efficiency by providing reliable, real-time monitoring of cell conditions in 3-D cultures compared to traditional methods.

This abstract compiles a list of references on pharmaceutical and chemical engineering topics without presenting any new research findings.

In this study, researchers developed de novo designed hetero-bifunctional proteins as an alternative approach for targeted protein degradation, successfully targeting BCL-xL for degradation in cells and inducing apoptosis, which may expand the range of addressable E3 ligases and disease targets.

This study demonstrates the use of rPanglaoDB, an R package for combining public single-cell datasets, to create the first unbiased transcriptome profile of fibrocytes, revealing their role in tissue healing.

This study demonstrated that de novo designed bifunctional proteins can target and degrade BCL-xL, leading to cell apoptosis, suggesting a new approach to targeted protein degradation therapy.

This study found that using curated biomedical databases as training examples for information extraction tasks in Genome-Wide Association Studies can outperform cost-insensitive methods, demonstrating their potential use without expert annotation.