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Molecular Docking Analysis of Selected Natural Compounds, Targeting Streptococcus pyogenes and Streptococcus agalactiae, and Preliminary Clinical Pilot Evaluation of a Local Vaginal Formulation: Implications for Localized Antimicrobial Strategies
Momir Dunjic
,Stefano Turini
,Tatjana Novakovic
,Lazar Nejkovic
,Jing Zhao
,Marija Dunjic
,Katarina Dunjic
Posted: 01 May 2026
Bioactive Constituents, Mechanisms, and Therapeutic Applications of Food-Medicine Continuum Herbs for Atherosclerosis Prevention and Treatment
Xiaorong Zhang
,Mengyue Dong
,Xinke Wang
,Yingjie Hong
,Xin Zhang
,Yonghuan Niu
,Xuefeng Li
Posted: 22 April 2026
Gut-Derived Immune Activation in Rheumatoid Arthritis: A Conceptual Parallel to Ama in Amavata
Alexander Dmitriev
,Rahul S. Gandhi
,Girish Tillu
Posted: 14 April 2026
Vision-Based Detection and Robotic Intervention System for Early Identification of Pneumonia from Chest X-Ray Images
Jenisha Raut
Posted: 14 April 2026
Ethnopharmacological Analysis of an Azerbaijani Booklet: A Critical Appraisal of Four Therapeutic Practice
Ahmet Özyürek
Posted: 10 April 2026
Antioxidant, Photoprotective, and Antimicrobial Potential of Oil Extract of Usnea barbata L. F.H.Wigg from Călimani Mountains, Romania
Mihaela Afrodita Dan
,Marina Ionela Nedea
,Emma Adriana Ozon
,Anca Ungurianu
,Andreea Roxana Ungureanu
,Violeta Popovici
,Adina Magdalena Musuc
,Veronica Bratan
,Radu George Cazacincu
,Andreea Letiția Arsene
+2 authors
Posted: 24 March 2026
Medicinal Implications of Phyllanthus Species: Neuroprotection Against Rotenone-Induced Cytotoxicity in SH-SY5Y Cells
Shu-Er Yang
,Jin-Cherng Lien
,Yu-Chen Wang
,Chi-Rei Wu
Posted: 24 March 2026
Autonomic Involvement in Selected Traditional Chinese Medicine Heat-Pattern Presentations: A Focused Review of Acupuncture, Auricular Acupressure, and Warm Modalities
MM AbdAlhamid
Posted: 23 March 2026
A Multi-Track Cognition Framework for Global Integrative Medicine: Breaking Paradigm Incommensurability Through System-Level Mapping Across Medical Systems
Guanfeng Yang
Posted: 05 March 2026
Experimental Planning for Extraction of Secondary Metabolites from Rauvolfia caffra Sond. Leaves: Biological and Chemical Characterization by Synchronous Fluorescence and Phosphorescence Spectroscopy
Karla Ramos
,Amin Karmali
Posted: 04 March 2026
A New Holistic Exercise Protocol for Improving Quality of Life
Stefania Tronconi
,Mirco Bonoli
,Davide Giusti
,Pasqualino Maietta Latessa
,Niccolò Baldoni
,Mario Mauro
Posted: 02 March 2026
Effect of Visceral Manipulation Therapy on Liver Steatosis Indices in Patients with Metabolic Dysfunction Associated Steatotic Liver Disease
Francisco Javier Carrasco-Sanchez
,Luis Socarrás-Alonso
,Constantino Lozano-Quintero
,Ángel Oliva-Pascual-Vaca
Posted: 02 March 2026
Integration of Network Pharmacology and Molecular Docking Together with an In Vitro Nitric Oxide Inhibition for the Insight for Antipyretic Effects of Benjalokawichian, the Thai Traditional Polyherbal Remedy
Chinnaphat Chaloemram
,Ruchilak Rattarom
,Anake Kijjoa
,Somsak Nualkaew
Posted: 27 February 2026
A Data-Driven Strategy for Profiling of TCM Herb Properties by Network Pharmacology and Deep Learning
Jingyi Jian
,Wenping Huang
,Tingting Zhang
,Erwin Adams
,Ann Van Schepdael
Extensive experimental data on Traditional Chinese Medicine are available in literature and databases. However, many studies focus on specific diseases or pathways with small sample sizes. As a result, the fundamental pharmacological basis underlying TCM herb properties remains insufficiently elucidated. Based on the concept of the multi-component, multi-target, multi-pathway network of TCM, a data-driven strategy was developed for the profiling of TCM herb properties through network pharmacology and deep learning, facilitating the exploration of the scientific evidence underlying TCM herb properties. Large-scale ingredient and target data of TCM herbs were curated from the HERB2.0 database. KEGG pathway enrichment was conducted for each herb with relative frequency profiling of distinct property groups. Deep learning models were developed and optimized for classification with visual explanation. As a result, high-relative frequency pathways were highly concentrated in five systems (endocrine, immune, nervous, signal transduction, cell growth and death) of KEGG. Herbs with distinct properties exhibited a V-shaped trend (Hot>Warm>Neutral<Cool<Cold) in terms of the abundance of ingredients, targets and high-frequency pathways. The HeteroGAT model improved classification accuracy and provided visual explanations at the ingredient–target–pathway level. We demonstrated a viable strategy to profile TCM property classification from a holistic perspective on ingredients, targets, and pathways, which could help elucidate the scientific basis of TCM properties. However, further advances in model refinement and data matrices are required to enhance the effectiveness of this strategy.
Extensive experimental data on Traditional Chinese Medicine are available in literature and databases. However, many studies focus on specific diseases or pathways with small sample sizes. As a result, the fundamental pharmacological basis underlying TCM herb properties remains insufficiently elucidated. Based on the concept of the multi-component, multi-target, multi-pathway network of TCM, a data-driven strategy was developed for the profiling of TCM herb properties through network pharmacology and deep learning, facilitating the exploration of the scientific evidence underlying TCM herb properties. Large-scale ingredient and target data of TCM herbs were curated from the HERB2.0 database. KEGG pathway enrichment was conducted for each herb with relative frequency profiling of distinct property groups. Deep learning models were developed and optimized for classification with visual explanation. As a result, high-relative frequency pathways were highly concentrated in five systems (endocrine, immune, nervous, signal transduction, cell growth and death) of KEGG. Herbs with distinct properties exhibited a V-shaped trend (Hot>Warm>Neutral<Cool<Cold) in terms of the abundance of ingredients, targets and high-frequency pathways. The HeteroGAT model improved classification accuracy and provided visual explanations at the ingredient–target–pathway level. We demonstrated a viable strategy to profile TCM property classification from a holistic perspective on ingredients, targets, and pathways, which could help elucidate the scientific basis of TCM properties. However, further advances in model refinement and data matrices are required to enhance the effectiveness of this strategy.
Posted: 27 February 2026
Identification of Potential Pancreatic Lipase Inhibitors from Traditional Chinese Medicines via Molecular Docking, Molecular Dynamics Simulation and in vitro Validation
Zixuan Zhang
,Jinhua Long
,Tingting Li
,Nan Xu
,Zhili Xu
,Yuedan Wang
,Ming Chu
,Mingbo Zhang
Posted: 26 February 2026
Experimental Planning for Extraction of Secondary Metabolites from Tithonia diversifolia (Hmsl.) A. Gray/Asteraceae Leaves: Biological and Chemical Characterization by Synchronous Fluorescence and Phosphorescence Spectroscopy and FTIR
Karla Ramos
,Amin Karmali
Posted: 25 February 2026
Efficacy and Safety of Sustained-Release Melatonin Capsules (2 mg) in Healthy Adults with Poor Sleep Quality: A Randomized, Double-Blind, Placebo-Controlled Trial
Shefali Thanawala
,Rajat Shah
,Alphy Lopes
,Milind Kulkarni
,Bharat Jain
,Niranjan Andhalkar
Posted: 11 February 2026
Extended Meridian Waveguide Model: A Multiphysics, Systems-Oriented Framework for Understanding Meridian Function and Intervention Coupling
Extended Meridian Waveguide Model: A Multiphysics, Systems-Oriented Framework for Understanding Meridian Function and Intervention Coupling
M M AbdAlhamid
Posted: 09 February 2026
Complementary Therapies and Medical Education: Relevance for Clinical Recommendation and Their Integration into the Health Care System
Mabel Alejandra Davila
Posted: 09 February 2026
Reflexology and Plantar Nerve Receptors: Neurophysiological Foundations of Sensory Stimulation Beyond the “7,000 Nerve Endings” Paradigm
Mabel Alejandra Davila
Posted: 02 February 2026
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