Results 121 to 130 of about 169,844 (308)
Ayurinformatics Laboratory- A synergy platform for Ayurveda and technology
The Ayush sector has attained buoyant growth in the past decade as a science, public health, medicine, and industry. Artificial Intelligence, computational drug designing, and other combinatorial techniques could further accelerate the sector's growth ...
Prashant Kumar Gupta +1 more
doaj +1 more source
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska +14 more
wiley +1 more source
ABSTRACT Liver metastasis is a leading cause of mortality in colorectal cancer (CRC), where the inflammatory tumor microenvironment, specifically neutrophil infiltration, significantly promotes metastatic colonization. This study reveals a pro‐metastatic role for alpha‐1 antitrypsin (A1AT) in CRC liver metastasis via a dual mechanism involving ...
Qian Fei +11 more
wiley +1 more source
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
Osteoarthritis (OA) is the leading cause of joint pain and disability in middle-aged and elderly patients. It is characterized by progressive loss of articular cartilage that eventually leads to denudation of the joint surface.
La Pietra, Valeria
core
Designing novel solenoid proteins with in silico evolution
Abstract Solenoid proteins are elongated tandem repeat proteins with diverse biological functions, making them attractive targets for protein design. Advances in machine learning have transformed our understanding of sequence-structure relationships, enabling new approaches for de novo protein design.
Daniella Pretorius +6 more
openaire +2 more sources
A zebrafish model carrying an identical human RHO S334X allele reveals two independent genetic layers shaping retinitis pigmentosa (RP) severity: a protective 3‐bp cis‐regulatory insertion that attenuates transgene expression, and a dominant trans‐acting modifier that restores a severe phenotype.
Cong Cui +9 more
wiley +1 more source
In silico-based vaccine design against Ebola virus glycoprotein
In silico-based vaccine design against Ebola virus ...
R Das (12148338) +5 more
core
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Optimising 3D bioprinter nozzle design through in silico modelling
3D bioprinting is a flourishing technology, in addressing tissue-engineering construct manufacturing related challenges. However, the realization of the potential of this developing technique is hindered by multiple technical hurdles which restrict the ...
Reina-Romo, Esther +6 more
core

