- Home
- A-Z Publications
- Current Medicinal Chemistry
- Previous Issues
- Volume 31, Issue 17, 2024
Current Medicinal Chemistry - Volume 31, Issue 17, 2024
Volume 31, Issue 17, 2024
-
-
Chalcone Derivatives as Antibacterial Agents: An Updated Overview
Background: The indiscriminate use of antibiotics brings an alarming reality: in 2050, bacterial resistance could be the main cause of death in the world, resulting in the death of 10 million people, according to the World Health Organization (WHO). In this sense, to combat bacterial resistance, several natural substances, including chalcones, have been described in relation to antibacterial, representing a potential tool for the dis Read More
-
-
-
Recent Advances on the Antimicrobial Activities of Schiff Bases and their Metal Complexes: An Updated Overview
Authors: Juliana Jorge, Kristiane F. Del Pino Santos, Fernanda Timóteo, Rafael Rodrigo Piva Vasconcelos, Osmar Ignacio Ayala Cáceres, Isis Juliane Arantes Granja, David Monteiro de Souza, Tiago Elias Allievi Frizon, Giancarlo Di Vaccari Botteselle, Antonio Luiz Braga, Sumbal Saba, Haroon ur Rashid and Jamal RafiqueSchiff bases represent a valuable class of organic compounds, synthesized via condensation of primary amines with ketones or aldehydes. They are renowned for possessing innumerable applications in agricultural chemistry, organic synthesis, chemical and biological sensing, coating, polymer and resin industries, catalysis, coordination chemistry, and drug designing. Schiff bases contain imine or azomethine (-C=N-) functional Read More
-
-
-
Environmental Risk Factors in Autism Spectrum Disorder: A Narrative Review
Authors: Konstantin Yenkoyan, Meri Mkhitaryan and Geir BjørklundExisting evidence indicates that environmental factors might contribute up to 50% of the variance in autism spectrum disorder (ASD) risk. This structured narrative review offers a comprehensive synthesis of current knowledge on environmental risk factors in ASD, including evaluation of conflicting evidence, exploration of underlying mechanisms, and suggestions for future research directions. Analysis of diverse epidemio Read More
-
-
-
Exploring Scoring Function Space: Developing Computational Models for Drug Discovery
Background: The idea of scoring function space established a systems-level approach to address the development of models to predict the affinity of drug molecules by those interested in drug discovery. Objective: Our goal here is to review the concept of scoring function space and how to explore it to develop machine learning models to address protein-ligand binding affinity. Methods: We searched the articles available in P Read More
-
-
-
A Five-gene Signature based on MicroRNA for Predicting Prognosis and Immunotherapy in Stomach Adenocarcinoma
Authors: Tianwei Wang, Piji Chen, Tingting Li, Jianong Li, Dong Zhao, Fanfei Meng, Yujie Zhao, Zhendong Zheng and Xuefei LiuAims: We aimed to classify molecular subtypes and establish a prognostic gene signature based on miRNAs for the prognostic prediction and therapeutic response in Stomach adenocarcinoma (STAD). Background: STAD is a common diagnosed gastrointestinal malignancy and its heterogeneity is a big challenge that influences prognosis and precision therapies. Present study was designed to classify molecular subt Read More
-
-
-
LIMD2 is the Signature of Cell Aging-immune/Inflammation in Acute Myocardial Infarction
Authors: Ping Tao, Xiaoming Chen, Lei Xu, Junteng Chen, Qinqi Nie, Mujuan Xu and Jianyi FengBackground: Acute myocardial infarction (AMI) is an age-dependent cardiovascular disease in which cell aging, immunity, and inflammatory factors alter the course; however, cell aging-immune/inflammation signatures in AMI have not been investigated. Methods: Based on the GEO database to obtain microRNA (miRNA) sequencing, mRNA sequencing and single-cell sequencing data, and utilizing the Seurat package to identify A Read More
-
-
-
Comprehensive scRNA-seq Analysis and Identification of CD8_+T Cell Related Gene Markers for Predicting Prognosis and Drug Resistance of Hepatocellular Carcinoma
Authors: Lu Cao, Muqi Liu, Xiaoqian Ma, Pengfei Rong, Juan Zhang and Wei WangBackground: Tumor heterogeneity of immune infiltration of cells plays a decisive role in hepatocellular carcinoma (HCC) therapy response and prognosis. This study investigated the effect of different subtypes of CD8+T cells on the HCC tumor microenvironment about its prognosis. Methods: Single-cell RNA sequencing, transcriptome, and single-nucleotide variant data from LUAD patients were obtained based on the GEO, TCG Read More
-
-
-
High-Resolution Profiling of Head and Neck Squamous Cells Carcinoma Identifies Specific Biomarkers and Expression Subtypes of Clinically Relevant Vulnerabilities
Authors: Yingying Zhu, Bi Peng, Xiaoxiao Luo, Wei Sun, Dongbo Liu, Na Li, Ping Qiu and Guoxian LongBackground: Head and neck squamous cell carcinoma (HNSC) is the seventh most common cancer worldwide. Although there are several options for the treatment of HNSC, there is still a lack of better biomarkers to accurately predict the response to treatment and thus be more able to correctly treat the therapeutic modality. Methods: First, we typed cases from the TCGA-HNSC cohort into subtypes by a Bayesian non-ne Read More
-
-
-
Developing a RiskScore Model based on Angiogenesis-related lncRNAs for Colon Adenocarcinoma Prognostic Prediction
Authors: Xianguo Li, Junping Lei, Yongping Shi, Zuojie Peng, Minmin Gong and Xiaogang ShuAim: We screened key angiogenesis-related lncRNAs based on colon adenocarcinoma (COAD) to construct a RiskScore model for predicting COAD prognosis and help reveal the pathogenesis of the COAD as well as optimize clinical treatment. Background: Regulatory roles of lncRNAs in tumor progression and prognosis have been confirmed, but few studies have probed into the role of angiogenesis-related lncRNAs in COAD. Ob Read More
-
-
-
Systematic Analysis of Tumor Stem Cell-related Gene Characteristics to Predict the PD-L1 Immunotherapy and Prognosis of Gastric Cancer
Authors: Chenchen Wang, Ying Chen, Ru Zhou, Ya'nan Yang and Yantian FangAims: We aimed to develop a prognostic model with stemness-correlated genes to evaluate prognosis and immunotherapy responsiveness in gastric cancer (GC). Background: Tumor stemness is related to intratumoral heterogeneity, immunosuppression, and anti-tumor resistance. We developed a prognostic model with stemness-correlated genes to evaluate prognosis and immunotherapy responsiveness in GC. Objecti Read More
-
Volumes & issues
-
Volume 32 (2025)
-
Volume 31 (2024)
-
Volume 30 (2023)
-
Volume 29 (2022)
-
Volume 28 (2021)
-
Volume 27 (2020)
-
Volume 26 (2019)
-
Volume 25 (2018)
-
Volume 24 (2017)
-
Volume 23 (2016)
-
Volume 22 (2015)
-
Volume 21 (2014)
-
Volume 20 (2013)
-
Volume 19 (2012)
-
Volume 18 (2011)
-
Volume 17 (2010)
-
Volume 16 (2009)
-
Volume 15 (2008)
-
Volume 14 (2007)
-
Volume 13 (2006)
-
Volume 12 (2005)
-
Volume 11 (2004)
-
Volume 10 (2003)
-
Volume 9 (2002)
-
Volume 8 (2001)
-
Volume 7 (2000)
Most Read This Month
Article
content/journals/cmc
Journal
10
5
false
en
