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ISSN: 1570-1646
e-ISSN: 1875-6247

Incretin Hormones: Mechanisms, Therapeutic Implications, and Future Directions in Glucose Regulation and Diabetes Management

Type 2 diabetes (T2D) is a global health crisis, currently affecting over 540 million individuals. Its prevalence continues to rise due to aging populations, sedentary lifestyles, and unhealthy diets....

Targeting the unexplored 'dark proteome': Novel approaches in drug discovery

The dark proteome, consisting of disordered, transient, and flexible regions of proteins, remains largely unexplored despite its potential for novel drug discovery. These regions, which lack stable...

Decoding disorder: Advances in predicting intrinsically disordered proteins

Intrinsically disordered proteins (IDPs) and intrinsically disordered regions (IDRs) play critical roles in cellular signaling, transcriptional regulation, and dynamic protein-protein interactions....

Advances in machine learning for optimizing pharmaceutical drug discovery

The integration of advanced machine learning methodologies has revolutionized the field of pharmaceutical drug discovery by addressing critical challenges in efficiency, scalability, and accuracy. This...

Docking and AI-based classification cum recurrent neural network validation for predicting anti-tubercular leads against dprE-1 enzyme targeter

Tuberculosis (TB) continues to pose a major global health challenge, highlighting the need for the development of new therapeutic agents....

Immune biomarkers as key targets in managing tuberculosis: A systematic review

Tuberculosis remains a major global health challenge and is one of the leading causes of mortality worldwide. In recent years, the resurgence of the disease has intensified research efforts aimed at...

Structure-based virtual screening and molecular dynamics simulation for the identification of novel potential inhibitors for the NDM-1 of Klebsiella Pneumoniae from the marine natural products

The emergence of antibiotic-resistant bacteria, especially New Delhi Metallo-β-lactamase-1 (NDM-1) of Klebsiella pneumoniae, is a significant threat to serious public health. The aim of this study was...

Advances in the combination of immunotherapy and radiotherapy for microsatellite-stable metastatic colorectal cancer

Combining immunotherapy with radiotherapy has emerged as a novel and promising approach for treating microsatellite-stable metastatic colorectal cancer (MSS mCRC). This review offers an in-depth analysis...

Comprehensive omics profiling in acute myeloid leukemia: From molecular landscape to clinical translation

Acute Myeloid Leukemia (AML) is a molecularly heterogeneous hematologic malignancy driven by diverse genetic, epigenetic, and transcriptomic alterations. Recent advancements in high-throughput omics...

A Multimodal artificial intelligence framework for mechanistic discovery and digital twin construction in cardiovascular medicine

Multimodal artificial intelligence (AI) is reshaping contemporary cardiovascular medicine. Its contribution has moved far beyond early successes in image recognition, arrhythmia detection, and automated...

Compounds isolated from Rhabdophyllum arnoldianum: promising new molecules for cancer treatment through their inhibitory properties on tyrosine kinases and dihydrofolate reductase, revealed by molecular docking

Resistance to current anticancer therapies drives the demand for novel, multitarget agents with improved safety. We screened flavonoid-derived phytochemicals isolated from Rhabdophyllum arnoldianum...

Applications of artificial intelligence and large language models in cancer immunotherapy

With the rapid advancement of artificial intelligence (AI) technologies, particularly the widespread adoption of large language models (LLMs), the field of cancer immunotherapy is experiencing unprecedented...

Proteomics and metabolomics analysis of Mongolian acupuncture therapy for type 2 diabetes mellitus with atherosclerosis

Mongolian acupuncture therapy, a traditional modality involving stimulation of specific acupoints, has shown notable benefits in managing diabetes mellitus (DM) and its complications. However, its effects...

Spatial omics: Deciphering heterogeneity in the tumor immune microenvironment and resistance to immunotherapy

Drug resistance in tumor immunotherapy is a significant challenge, stemming from the high heterogeneity and intricate spatial architecture of the tumor immune microenvironment. Traditional omics technologies...

The characterization and immunoinformatic analysis of HN and F genes from the first reported XIII.2.1 Newcastle disease virus sub-genotype in Iran

The global poultry industry faces considerable economic losses due to pathogenic strains of the Newcastle disease virus (NDV)....

The progress and prospects of single-cell sequencing, multi-omics integration analysis, and immunotherapy targeting strategies in lung cancer research

Lung cancer is a highly prevalent and lethal malignant tumor globally, imposing a heavy burden on public health. Traditional treatments such as surgery, chemotherapy, and radiotherapy have significant...

Advances in bioinformatics techniques for ophthalmic diseases

As the population ages and lifestyles evolve, the prevalence of ophthalmic diseases such as diabetic retinopathy, age-related macular degeneration, and glaucoma continues to rise, imposing a significant...

A research status and prospects of edible fungal-derived fibrinolytic enzymes: breakthroughs based on multi-omics and intelligent delivery technologies

Thrombotic diseases represent a significant global health burden. Current clinical thrombolytic agents are plagued by limitations including short half-lives, high bleeding risks, and exorbitant costs....

Machine learning-based classification of viral membrane proteins

Viral membrane proteins (VMPs) are essential viral components located on the surface of enveloped viruses, playing a critical role during the viral infection of host cells. Based on their structural...

The expanding tool landscape of proteomics: From high-throughput quantification to intelligent data analysis

Identification of key fatty acid metabolism genes and lncRNAs in Tibial cortex transverse traction therapy for diabetic foot Ulcers

To explore the potential molecular mechanisms of tibial cortex transverse traction (TTT) in diabetic foot ulcer (DFU) healing by identifying key fatty acid metabolism genes and long non-coding RNAs...

Applications and challenges of tear proteomics in unveiling the molecular mechanisms and biomarkers of dry eye disease

Dry Eye Disease (DED) stands as one of the most prevalent ocular surface disorders globally, with an increasing incidence that significantly impairs patients’ visual function and quality of life. Conventional...

GRHL3 promotes tumor growth and metastasis via the TGF-β signaling pathway in human epithelial ovarian cancer

Grainyhead-like 3 (GRHL3) has been implicated in the biology of several epithelial malignancies, yet its function in epithelial ovarian cancer (EOC) remains insufficiently defined. Given the high mortality...

Exploration of atractylenolide III targeting MDM2/p53 axis in breast cancer cell progression based on network pharmacology, molecular docking and ubiquitination analysis

Atractylenolide III (AT III) is a promising drug used for cancer treatment. Herein, this study aimed to explore the anti-tumor mechanism of AT III in breast cancer (BC) associated with murine double...

Multi-omics analysis reveals molecular characteristics and potential therapeutic targets of primary central nervous system lymphoma

Primary central nervous system lymphoma (PCNSL) is a rare and aggressive extranodal lymphoma, which is distinct from nodal diffuse large B-cell lymphoma (DLBCL) in clinical presentation, molecular pathology,...

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