Results 221 to 230 of about 424,704 (329)

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

FEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen, Qianqian Cui, Zhongyun Lan, Yingjun Wang, Shuaiying Zhao, Wenxuan Feng, Yunfeng Liu, Qiting Huang, Dongna Zhang, Jianfeng Xu   +9 more
wiley   +1 more source

Interactional Compression and Maternal Participation in Neonatal Intensive Care Units: A Qualitative Study of Nurse-Mother Communication Barriers and Co-Produced Solutions. [PDF]

Healthcare (Basel)
Elsharkawy NB, Ramadan OME, Hafiz AH, Katooa NE, Abunar A, Attallah DMA, Raguini M, Alruwaili MM, Abdelaziz EM, Ouda MMA, Alkhadam AQ, Alshammari MSS, Ghoneam MA, Aldousari E.   +13 more
europepmc   +1 more source

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

FEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel, Carlos DeOcesano Pereira, Aline Ramos Maia Lobba, Melissa Regina Fessel, Ana Marisa Chudzinski‐Tavassi   +4 more
wiley   +1 more source

Causal Modeling of FMRI Time-Series for Interpretable Autism Spectrum Disorder Classification

Peiyu Duan, Nicha C. Dvornek, Jiyao Wang, Lawrence H. Staib, James S. Duncan   +4 more
openalex   +2 more sources

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Mamba ECIS for power marketing customer behavior forecasting using multimodal deep learning. [PDF]

Sci Rep
Pang W, Wang X, Li K.
europepmc   +1 more source

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

FEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik, Russell Pickford, Hannah C. Timmins, Olivier Piguet, Glenda M. Halliday, Matthew C. Kiernan, Woojin Scott Kim   +6 more
wiley   +1 more source

Uncertainty aware and explainable construction cost prediction using a hybrid probabilistic learning model. [PDF]

Sci Rep
Chen L, Khalid OW, Tiang JJ, Tiang SS, Shin DY, Choo YH, Sharma A, Lim WH.   +7 more
europepmc   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Explainable AI in education: integrating educational domain knowledge into the deep learning model for improved student performance prediction. [PDF]

Sci Rep
Qiang M, Liu Z, Zhang R.
europepmc   +1 more source