Sequence-based prioritization of i-Motif candidates in the human genome [0.03%]
基于序列的人类基因组i-动机候选优先级划分
Veronica Remori,Michela Prest,Mauro Fasano
Veronica Remori
Introduction: i-Motifs (iMs) are cytosine-rich, four-stranded DNA structures with emerging roles in gene regulation and genome stability. Despite their biological relevance, genome-wide prediction of iM-forming sequences ...
Internal fossil constraints have more effect on the age estimates of crown Palaeognathae than different phylogenomic data type [0.03%]
内部化石限制对鸟类古ognathae冠部年龄估计的影响大于不同谱系组学数据类型的影响
Alexandre Pedro Selvatti,Naoko Takezaki
Alexandre Pedro Selvatti
Palaeognathae is an ancient bird lineage that includes the volant tinamous and six flightless lineages: ostrich, rhea, cassowary, emu, kiwi (extant) and moa, elephant bird (extinct). Over the past decade, a consensus has emerged on the rela...
In silico analysis of CSF2RB from cancer genomic databases reveals a heterogeneous role in different breast cancer subtypes [0.03%]
基于癌症基因组数据库的CSF2RB的生物信息学分析显示其在不同亚型乳腺癌中的作用异质性
Raghad Alshelaiel,Abdulmohsen Alkushi,Lolwah Abdullah Alriyees et al.
Raghad Alshelaiel et al.
Objective: CSF2RB is the common beta chain of the heterodimeric receptors for the cytokines, granulocyte-macrophage colony-stimulating factor (GM-CSF), interleukin 3 (IL-3), and interleukin 5 (IL-5). The activation of the...
Bioinformatics analysis of lncRNA and mRNA differentially expressed in patients with cervical cancer [0.03%]
宫颈癌患者差异表达的lncRNA和mRNA的生物信息学分析
Xiaohua An,Xiaoxue Huang,Qiujie Yu et al.
Xiaohua An et al.
To verify the expression profile of long non-coding RNAs (lncRNAs) and mRNAs in cervical cancer, identify their clinical significance in HPV16-associated cervical cancer, and annotate the biological function of mRNAs. Three pairs of cancero...
The bacteriostatic regulation of luteolin from honeysuckle by protein network interaction [0.03%]
金银花中木犀草素的蛋白质相互作用网络及抑菌调控机制分析
Jianfeng Zhang,Mujun Chen,Dianzeng Yang et al.
Jianfeng Zhang et al.
A comprehensive analysis of the bacteriostatic mechanism of luteolin at the molecular level was performed. Luteolin-related targets were first retrieved from the STITCH database, followed by the acquisition of protein-protein interaction (P...
Computational investigation of potential natural compounds as inhibitors of monkeypox virus cysteine proteinase [0.03%]
计算研究潜在天然化合物作为猴痘病毒半胱氨酸蛋白酶抑制剂的可能性
Riya Nalwa,Anis Ahmad Chaudhary,Mandeep Chouhan et al.
Riya Nalwa et al.
Introduction: Monkeypox is a serious viral illness that is rarely seen but is spread from person to person and from animals to humans. Cysteine proteinase, an essential enzyme involved in the replication of the monkeypox ...
Integrative machine learning and bioinformatics analysis to identify cellular senescence-related genes and potential therapeutic targets in ulcerative colitis and colorectal cancer [0.03%]
集成功能性基因组学的分析方法鉴定溃疡性结肠炎和结直肠癌相关促纤维化的关键因子与治疗靶点
Tianle Xue,Yunpeng Chen,Xiaomeng Li et al.
Tianle Xue et al.
Background: Ulcerative colitis (UC) is a chronic inflammatory condition that predisposes patients to colorectal cancer (CRC) through mechanisms that remain largely undefined. Given the pivotal role of cellular senescence ...
NeSyDPP-4: discovering DPP-4 inhibitors for diabetes treatment with a neuro-symbolic AI approach [0.03%]
基于神经符号AI的糖尿病治疗DPP-4抑制剂药物发现研究NeSyDPP-4
Delower Hossain,Ehsan Saghapour,Jake Y Chen
Delower Hossain
Introduction: Diabetes Mellitus (DM) constitutes a global epidemic and is one of the top ten leading causes of mortality (WHO, 2019), projected to rank seventh by 2030. The US National Diabetes Statistics Report (2021) st...
Design of cross-reactive antigens with machine learning and high-throughput experimental evaluation [0.03%]
基于机器学习和高通量实验评估的交联抗原设计
Chelsy Chesterman,Thomas Desautels,Luz-Jeannette Sierra et al.
Chelsy Chesterman et al.
Selecting an optimal antigen is a crucial step in vaccine development, significantly influencing both the vaccine's effectiveness and the breadth of protection it provides. High antigen sequence variability, as seen in pathogens like rhinov...
IDRdecoder: a machine learning approach for rational drug discovery toward intrinsically disordered regions [0.03%]
IDRdecoder：一种针对内在无序区域的理性药物发现的机器学习方法
Clara Shionyu-Mitusyama,Satoshi Ohmori,Subaru Hirata et al.
Clara Shionyu-Mitusyama et al.
Introduction: Intrinsically disordered regions (IDRs) of proteins have traditionally been overlooked as drug targets. However, with growing recognition of their crucial role in biological activity and their involvement in...