Results 161 to 170 of about 750,523 (310)

A New Route for the Determination of Protein Structure and Function [PDF]

arXiv
Understanding complex biological macromolecules, especially proteins, is vital for grasping their diverse chemical functions with direct impact in biology and pharmacology. While techniques like X-ray crystallography and cryo-electron microscopy have been valuable, they face limitations such as radiation damage and difficulties in crystallizing certain
arxiv  

Calcium modulating ligand confers risk for Parkinson's disease and impacts lysosomes

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Several genetic loci known to confer risk for Parkinson's disease (PD) function in lysosomal pathways. We systematically screened common variants linked to PD risk by genome‐wide association studies (GWAS) for impact on cerebrospinal fluid (CSF) proteins reflecting lysosomal function.
Hanwen Zhang, Daniel Kargilis, Thomas Tropea, John Robinson, Junchao Shen, Eliza M. Brody, Ann Brinkmalm, Simon Sjödin, Adama J. Berndt, Marc Carceles‐Cordon, EunRan Suh, Vivianna M. Van Deerlin, Kaj Blennow, Daniel Weintraub, Edward B. Lee, Henrik Zetterberg, Alice S. Chen‐Plotkin   +16 more
wiley   +1 more source

Unleashing the Power of Multiomics: Unraveling the Molecular Landscape of Peripheral Neuropathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Peripheral neuropathies (PNs) affect over 20 million individuals in the United States, manifesting as a wide range of sensory, motor, and autonomic nerve symptoms. While various conditions such as diabetes, metabolic disorders, trauma, autoimmune disease, and chemotherapy‐induced neurotoxicity have been linked to PN, approximately one‐third of
Julie Choi, Zitian Tang, Wendy Dong, Jenna Ulibarri, Elvisa Mehinovic, Simone Thomas, Ahmet Höke, Sheng Chih Jin   +7 more
wiley   +1 more source

ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction [PDF]

arXiv
The prediction of protein-protein interactions (PPIs) is crucial for understanding biological functions and diseases. Previous machine learning approaches to PPI prediction mainly focus on direct physical interactions, ignoring the broader context of nonphysical connections through intermediate proteins, thus limiting their effectiveness. The emergence
arxiv  

Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics

Advanced Biology, EarlyView.
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim, Kanghoon Choi, Amy Lin, Jungkyu Kim   +3 more
wiley   +1 more source

Murine Models and Human Cell Line Models to Study Altered Dynamics of Ovarian Follicles in Polycystic Ovary Syndrome

Advanced Biology, EarlyView.
The manuscript examines preclinical murine and human models to study polycystic ovary syndrome (PCOS), delving into the cellular and molecular mechanisms underlying altered ovarian follicular dynamics. It explores the cellular interactions involved in normal and PCOS ovaries and outlines the current and novel strategies in the search for preclinical ...
Arturo Bevilacqua, Cristiano Giuliani, Giovanna Di Emidio, Samuel H Myers, Vittorio Unfer, Carla Tatone   +5 more
wiley   +1 more source

PRISMA: Protein Interaction Screen on Peptide Matrix Reveals Interaction Footprints and Modifications- Dependent Interactome of Intrinsically Disordered C/EBPβ

iScience, 2019
Summary: CCAAT enhancer-binding protein beta (C/EBPβ) is a pioneer transcription factor that specifies cell differentiation. C/EBPβ is intrinsically unstructured, a molecular feature common to many proteins involved in signal processing and epigenetics ...
Gunnar Dittmar, Daniel Perez Hernandez, Elisabeth Kowenz-Leutz, Marieluise Kirchner, Günther Kahlert, Radoslaw Wesolowski, Katharina Baum, Maria Knoblich, Maria Hofstätter, Arnaud Muller, Jana Wolf, Ulf Reimer, Achim Leutz   +12 more
doaj  

ProLLaMA: A Protein Language Model for Multi-Task Protein Language Processing [PDF]

arXiv
Large Language Models (LLMs) have achieved remarkable performance in multiple Natural Language Processing (NLP) tasks. Under the premise that protein sequences constitute the protein language, Protein Language Models(PLMs) have advanced the field of protein engineering.
arxiv  

Magnetic Field‐Assisted Conductive Nerve Guidance Conduit Enabling Peripheral Nerve Regeneration with Wireless Electrical Stimulation

Advanced Functional Materials, EarlyView.
This study introduces a conductive nerve guidance conduit integrated with wireless electrical stimulation through alternating magnetic fields, which induces currents and creates a supportive microenvironment for nerve regeneration. In vivo studies show that this approach significantly enhanced myelin restoration, gastrocnemius muscle regeneration ...
Shiheng Liu, Li‐Fang Zhu, Ming‐Wei Chang, Chao Li, Tingyu Wang, Rong Wang, Xinghao Yan, Baolin Wang   +7 more
wiley   +1 more source

Biomimetic Design of Biocompatible Neural Probes for Deep Brain Signal Monitoring and Stimulation: Super Static Interface for Immune Response‐Enhanced Contact

Advanced Functional Materials, EarlyView.
Ultrathin, flexible neural probes are developed with an innovative, biomimetic design incorporating brain tissue‐compatible materials. The material system employs biomolecule‐based encapsulation agents to mitigate inflammatory responses, as demonstrated through comprehensive in vitro and in vivo studies.
Jeonghwa Jeong, Gyeonghwa Heo, Young Woo Kwon, Seon Yeong Chae, Min Jae Kim, Ki Jun Yu, Hwa Kyoung Shin, Suck Won Hong   +7 more
wiley   +1 more source