Rheumatoid Arthritis

Computational modeling-assisted discovery of the structural effects of phenylpropanoid derivatives on intracellular anti-Trypanosoma cruzi activity.

Previous investigations have demonstrated that n-hexacosyl p-coumarate, a natural product isolated from the Brazilian plant Baccharis sphenophylla, exhibits activity against the extracellular (trypomastigote) forms of Trypanosoma cruzi. Structural modification of this compound led to the synthesis of the n-hexyl p-coumarate derivative, which showed significantly improved bioactivity, achieving an ...

Human microphysiological systems of aging recreate the in vivo process expediting evaluation of anti-geronic strategies.

The search for biological mechanisms of human aging is stalled by a lack of suitable models, and it remains unknown whether and to what degree rejuvenation reported in rodents translates to people. Here we report a human induced pluripotent stem cell-derived microphysiological system modelling the white adipose tissue-liver axis in the presence of heterochronic human serum to study aging and rejuv...

Anti-Disturbance Proximal Neural Networks for Composite Resource Allocation.

Composite resource allocation problems with general constraints are studied in this article, which frequently arise in networked systems such as smart...

Palmatine ameliorates MASLD in type 2 diabetes by modulating hepatic apoptosis and inflammation.

Type 2 diabetes mellitus (T2DM) is a major risk factor for metabolic dysfunction-associated steatotic liver disease (MASLD), and their convergence pre...

A decoction-inspired genetic algorithm and PPO reinforcement learning for intelligent molecular discovery: Anti-colorectal cancer candidates from the tiao-pi AnChang formula.

BACKGROUND: Colorectal cancer (CRC) remains among the leading causes of cancer-related mortality worldwide. The TiaoPi AnChang Decoction (TPACD), a tr...

Integrating bioinformatics, machine learning and molecular biology to elucidate the anti-allergic mechanisms of ginkgo biloba leaves.

Allergic diseases, encompassing allergic asthma, atopic dermatitis, food allergies, have emerged as substantial global public health challenges, with ...

AI-driven design of antimicrobial peptide for combating resistance and infectious diseases.

The growing threat of antimicrobial resistance, coupled with the challenges of developing new antibiotics, demands innovative therapeutic solutions. A...

Integrated machine learning and multi-omics analysis identifies ALOX5 as a potential therapeutic target for tubulointerstitial inflammation in diabetic kidney disease.

Diabetic kidney disease (DKD) is a leading cause of renal failure. Inflammation of the renal tubules and interstitium is a critical factor in the prog...

Exploration of network-based, machine learning, MD simulations, and MM/GBSA approaches revealed luteolin from Gynura procumbens as key inhibitor of MMP9 in NSCLC.

The primary leading reason for cancer death is non-small-cell lung cancer (NSCLC) still up to date globally. Even with today's advanced technology, it...

Task-adaptive sparse graph structure learning with error-edge pruning and anti-smoothing mechanism.

Graph Structure Learning (GSL) optimizes graph topologies to enhance node representations. This study reveals a critical limitation: while GSL excels ...

Detection of sample swapping in anti-doping investigations using machine learning.

The substitution of a urine sample that may result in an adverse analytical finding with a previously collected, clean sample is strictly prohibited u...

Protective Effects of Riociguat Against Contrast-Induced Nephropathy: An Experimental and Machine Learning-Based Study in Rats.

Contrast-induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventi...

Ultrasonic-assisted extraction, purification, identification, and bioactivity evaluation of phlorotannins from Sargassum fusiforme: A comparative study of RSM and SVM-GA.

Sargassum fusiforme is a medicinal and edible species present in China, Korea, and Japan, and its phlorotannins are considered valuable bioactive comp...

DeepStackVEGF a stacking ensemble deep learning framework for vascular endothelial growth factor prediction.

Vascular Endothelial Growth Factor (VEGF) plays a central role in angiogenesis, regulating both physiological processes such as wound healing, tissue ...

Pinostrobin attenuates microglia-mediated neuroinflammation after subarachnoid hemorrhage through modulation of the MYC-CTSL signaling axis.

Subarachnoid hemorrhage (SAH) is a life-threatening neurological emergency associated with high mortality and poor functional outcomes. Early brain in...

Polysaccharide-driven quality control of Gastrodia elata Blume: A multidimensional strategy integrating LC-MS/MS-based quantitative analysis, machine learning, and anti-neuroinflammatory bioactivity.

Gastrodia elata Blume (GE), a highly regarded traditional Chinese medicinal herb, is widely recognized for its diverse pharmacological activities. Cur...

AI-driven identification of a selective dual function inhibitor blocking HK2 activity and HK2-VDAC1 interaction displaying enhanced anticancer efficacy under hypoxia.

Selective inhibition of hexokinase 2 (HK2) represents a promising therapeutic strategy due to the pivotal role of HK2 in the Warburg effect, enhanceme...

Assessment of quantum chemical predictors for anti-colorectal cancer agents using QSAR modeling.

Optimizing the prediction of anti-colorectal cancer agent activity is essential aspect in the identification and creation of medications. Machine lear...

[Plasma proteomics in age-related macular degeneration].

BACKGROUND: Neovascular age-related macular degeneration (nAMD) shows a heterogeneous treatment response to anti-vascular endothelial growth factor (V...

Exploring the therapeutic potential of Radix Puerariae isoflavonoids against atherosclerosis through integrative network pharmacology and machine learning.

Atherosclerosis (AS) is a chronic inflammatory disease of the vascular wall driven by a complex interplay between dysregulated immune responses and li...