Bioinformatic analysis of the regulatory potential of tagging SNPs provides evidence of the involvement of genes encoding the heat-resistant obscure (Hero) proteins in the pathogenesis of cardiovascular diseases [0.03%]
生物信息学分析标记SNPs的调控潜力提供了心血管疾病发病机制中编码热抵抗型隐匿蛋白(Hero)基因参与的证据
Vladislav V Shilenok,Irina V Shilenok,Vladislav O Soldatov et al.
Vladislav V Shilenok et al.
Although multiple aspects of molecular pathology underlying cardiovascular diseases (CVDs) have been revealed, the complete picture has yet to be elucidated. In this respect, annotation of the novel links between genes and atherosclerosis i...
Survival risk prediction in hematopoietic stem cell transplantation for multiple myeloma [0.03%]
造血干细胞移植治疗多发性骨髓瘤的生存预测模型
Jose María Belmonte,Miguel Blanquer,Gregorio Bernabé et al.
Jose María Belmonte et al.
This paper investigates the application of Survival Analysis (SA) techniques to forecast outcomes after autologous Hematopoietic Stem Cell Transplantation (aHSCT) for Multiple Myeloma (MM). By leveraging six SA models, we examine their pred...
Data management in balance - a decade of balancing pragmatism, sustainability and innovation at plant research center IPK Gatersleben [0.03%]
平衡管理数据——在植物研究机构IPK Gatersleben十年间务实、可持续与创新的实践
Danuta Schüler,Matthias Lange,Thomas Altmann et al.
Danuta Schüler et al.
The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben is a leading international plant science institute specializing in biodiversity and crop plant performance research. Over the last decade, all phases of the r...
Towards a more accurate and reliable evaluation of machine learning protein-protein interaction prediction model performance in the presence of unavoidable dataset biases [0.03%]
在不可避免的数据集偏差存在的情况下，提高机器学习蛋白质-蛋白质相互作用预测模型性能评价的准确性和可靠性
Alba Nogueira-Rodríguez,Daniel Glez-Peña,Cristina P Vieira et al.
Alba Nogueira-Rodríguez et al.
The characterization of protein-protein interactions (PPIs) is fundamental to understand cellular functions. Although machine learning methods in this task have historically reported prediction accuracies up to 95 %, including those only us...
Fcodes update: a kinship encoding framework with F-Tree GUI & LLM inference [0.03%]
Fcodes更新：带有F-树GUI和LLM推理的亲缘关系编码框架
Daniel Pérez-Rodríguez,Roberto C Agís-Balboa,Hugo López-Fernández
Daniel Pérez-Rodríguez
Family structures play a crucial role in personal development, social dynamics, and mental health. Traditional systems for encoding genealogical data, such as Ahnentafel and the Register System, offer methods to document lineage but face li...
Predicting precursors of plant specialized metabolites using DeepMol automated machine learning [0.03%]
使用DeepMol自动机器学习预测植物特异代谢物的前体
João Capela,João Cheixo,Dick de Ridder et al.
João Capela et al.
Plants produce specialized metabolites, which play critical roles in defending against biotic and abiotic stresses. Due to their chemical diversity and bioactivity, these compounds have significant economic implications, particularly in the...
Designing an optimized theta-defensin peptide for HIV therapy using in-silico approaches [0.03%]
利用计算机模拟方法设计优化的 Theta-防御素肽用于HIV治疗
Zahra Mosalanejad,Seyed Nooreddin Faraji,Mohammad Reza Rahbar et al.
Zahra Mosalanejad et al.
The glycoproteins 41 (gp41) of human immunodeficiency virus (HIV), located on the virus's external surface, form six-helix bundles that facilitate viral entry into the host cell. Theta defensins, cyclic peptides, inhibit the formation of th...
Immunoinformatics-guided design of a multiepitope peptide vaccine targeting the receptor-binding domain of SARS-CoV-2 spike glycoprotein: insights from Indonesian samples [0.03%]
基于免疫信息学指导的针对SARS-CoV-2刺突糖蛋白受体结合域的多表位肽疫苗设计：来自印度尼西亚样本的启示
Irvan Faizal,Darrian Chandra,Tarwadi et al.
Irvan Faizal et al.
The emergence of new variants of SARS-CoV-2, including Alpha, Beta, Gamma, Delta, Omicron variants, and XBB sub-variants, contributes to the number of coronavirus cases worldwide. SARS-CoV-2 is a positive RNA virus with a genome of 29.9 kb ...
MiRNA target enrichment analysis of co-expression network modules reveals important miRNAs and their roles in breast cancer progression [0.03%]
基于共表达网络模块的miRNA靶基因富集分析揭示了乳腺癌进展中重要miRNA及其功能
Mohammad Javad Bazyari,Seyed Hamid Aghaee-Bakhtiari
Mohammad Javad Bazyari
Breast cancer has the highest incidence and is the fifth cause of death in cancers. Progression is one of the important features of breast cancer which makes it a life-threatening cancer. MicroRNAs are small RNA molecules that have pivotal ...
Exploring the therapeutic potential of Asparagus africanus in polycystic ovarian syndrome: a computational analysis [0.03%]
计算分析非洲芦笋治疗多囊卵巢综合征潜力的研究
Sania Riaz,Fatima Haider,Rizwan- Ur-Rehman et al.
Sania Riaz et al.
PCOS is a multifaceted condition characterized by ovarian abnormalities, metabolic disorders, anovulation, and hormonal imbalances. In response to the growing demand for treatments with fewer side effects, the exploration of herbal-origin d...