Exploration of Natural Products for Targeting IDH1/2 Mutations in Acute Myeloid Leukemia Through Ligand-Based Pharmacophore Screening, Docking, ADME-T, and Molecular Dynamic Simulation Approaches [0.03%]
基于配体的药效团筛选、对接、ADME-T及分子动力学模拟方法探索针对急性髓系白血病IDH1/2突变的天然产物研究
Uddalak Das,Dheemanth Reddy Regati,Jitendra Kumar et al.
Uddalak Das et al.
Background: Mutations in isocitrate dehydrogenase 1 (IDH1) and 2 (IDH2) are prevalent drivers of acute myeloid leukemia (AML). While targeted therapies exist, resistance can emerge. This study explored the potential of na...
Designing a Multi-Epitope Vaccine Against HPV 16, 18, 33, and 45 Targeting L1 and E7 Proteins: An Immunoinformatics Approach for Cervical Cancer Prevention and Therapy [0.03%]
基于免疫信息学方法设计用于宫颈癌预防和治疗的HPV 16、18、33和45型多表位疫苗（靶向L1和E7蛋白）
Md Touki Tahamid Tusar,Niamul Haq,Hafizur Rahman Gazi et al.
Md Touki Tahamid Tusar et al.
Cervical cancer, induced by human papillomavirus (HPV), ranks as the fourth most prevalent malignancy among women globally. Unfortunately, existing prophylactic vaccines lack therapeutic efficacy. This study aimed to design a multi-epitope ...
A Deep Learning Model to Predict the ncRNA-Protein Interactions Based on Sequences Information Only [0.03%]
基于序列信息预测ncRNA-蛋白质相互作用的深度学习模型
Maha Fm Sewailem,Muhammad Arif,Tanvir Alam
Maha Fm Sewailem
Noncoding RNAs (ncRNAs) play significant roles in multiple fundamental biological processes, in particular, ncRNAs interactions provide valuable insights into protein synthesis, controlling gene expression, RNA processing, regulation of loc...
Integrated Genomic Approaches to Elucidate the Genetic Basis of Brugada Syndrome in Taiwanese Patients [0.03%]
整合基因组方法阐明台湾Brugada综合征患者的遗传基础
Chayanika Goswami,Jyh-Ming Jimmy Juang,Tzu-Pin Lu et al.
Chayanika Goswami et al.
Brugada syndrome (BrS) is a rare cardiac arrhythmia with a complex and largely unexplained genetic basis. In this study, we analysed genomic data from 214 Taiwanese BrS cases and 1316 controls to uncover susceptibility loci using genome-wid...
Evaluation of the Antigenic Potential of Epitopes Derived From Leishmania braziliensis [0.03%]
利什曼原虫抗原表位的抗原潜力评估
Ntc Costa,Ams Pereira,C C Silva et al.
Ntc Costa et al.
Background: Leishmaniasis is a neglected tropical disease caused by protozoa of the genus Leishmania, predominantly affecting populations with limited socioeconomic resources. Leishmania (V.) braziliensis is one of the primary etiological a...
Identification of Potent HDAC6 Inhibitors for Breast Cancer Through Multi-Stage In Silico Modeling [0.03%]
基于多阶段计算机模拟的乳腺癌HDAC6抑制剂识别研究
Vaishali Pankaj,Inderjeet Bhogal,Sudeep Roy
Vaishali Pankaj
Histone deacetylases (HDACs) are essential epigenetic regulators, with HDAC6 overexpression linked to estrogen receptor (ER) activity and breast cancer progression. While several HDAC6 inhibitors have been investigated, their clinical succe...
Understanding the Impact of Individual Nucleotide on Oxford Nanopore Current Signals With Interpretable Prediction Models [0.03%]
具有解释性的预测模型揭示影响Oxford纳米孔电流信号的个体核苷酸的因素
Yenan Wang,Zhixing Wu,Jia Meng
Yenan Wang
Oxford nanopore sequencing enabled real-time, long-read analysis of DNA by detecting ionic current signals associated with K-mer sequences. Although many studies analyzed sequence and modification detection, our understanding of how multipl...
Metagenomic Insights Into Biopile Remediation of Petroleum-Contaminated Soil Using Chicken Droppings in Rivers State, Nigeria [0.03%]
尼日利亚河流州利用鸡粪生物堆修复受石油污染土壤的元基因组学见解
Emmanuel O Fenibo,Rosina Nkuna,Tonderayi Matambo
Emmanuel O Fenibo
Petroleum hydrocarbon pollution is an escalating global issue, particularly in developing countries, where it has attracted significant attention from researchers focusing on bioremediation, monitoring and sustainability. This study utilise...
Language Modelling Techniques for Analysing the Impact of Human Genetic Variation [0.03%]
语言建模技术在分析人类遗传变异影响中的应用
Megha Hegde,Jean-Christophe Nebel,Farzana Rahman
Megha Hegde
Interpreting the effects of variants within the human genome and proteome is essential for analysing disease risk, predicting medication response, and developing personalised health interventions. Due to the intrinsic similarities between t...
Repurposing of Anti-Infectives for the Management of Onchocerciasis Using Machine Learning and Protein Docking Studies [0.03%]
基于机器学习和蛋白质对接研究的抗感染药物治疗盘尾丝虫病的新用途
Cyril Tetteh,Andy Andoh Mensah,Bernice Ampomah et al.
Cyril Tetteh et al.
There is a need to improve the discovery of new drugs for neglected tropical diseases (NTDs), as the lack of financial incentives has slowed their development. Currently, ivermectin and moxidectin are used in the management of onchocerciasi...