Diaz Adrian, Roca-Martínez Joel, Vranken Wim
Interuniversity Institute of Bioinformatics in Brussels, VUB/ULB, Brussels 1050, Belgium.
Structural Biology Brussels, Vrije Universiteit Brussel, Brussels 1050, Belgium.
Nucleic Acids Res. 2025 Jul 7;53(W1):W503-W511. doi: 10.1093/nar/gkaf367.
RRMScorer is a web server designed to predict RNA binding preferences for proteins containing RNA recognition motifs (RRMs), the most prevalent RNA binding domain in eukaryotes. By carefully analysing a dataset of 187 RRM-RNA structural complexes, we calculated residue-level binding scores using a probabilistic model derived from amino acid-nucleotide interaction propensities, which are the basis of RRMScorer. The server accepts protein sequences and optional RNA sequences as input, providing detailed outputs, including bar plots, sequence logos, and downloadable CSV/JSON files, to visualize and interpret RNA binding preferences. RRMScorer is particularly useful for studying the impact of single-point mutations and comparing binding preferences across multiple RRM domains. The web server, freely accessible at https://bio2byte.be/rrmscorer without login requirements, offers a user-friendly interface and integrates precomputed predictions for over 1400 RRM-containing proteins. With its ability to provide residue-level insights and accurate predictions, RRMScorer serves as a valuable tool for researchers exploring the functional landscape of RRM-RNA interactions.
RRMScorer是一个网络服务器,旨在预测含有RNA识别基序(RRMs)的蛋白质的RNA结合偏好,RRMs是真核生物中最普遍的RNA结合结构域。通过仔细分析187个RRM-RNA结构复合物的数据集,我们使用从氨基酸-核苷酸相互作用倾向推导出来的概率模型计算了残基水平的结合分数,这是RRMScorer的基础。该服务器接受蛋白质序列和可选的RNA序列作为输入,提供详细的输出,包括柱状图、序列标识以及可下载的CSV/JSON文件,以可视化和解释RNA结合偏好。RRMScorer对于研究单点突变的影响以及比较多个RRM结构域的结合偏好特别有用。这个网络服务器可在https://bio2byte.be/rrmscorer免费访问,无需登录,提供用户友好的界面,并整合了对1400多种含RRM蛋白质的预计算预测。凭借其提供残基水平见解和准确预测的能力,RRMScorer是研究人员探索RRM-RNA相互作用功能格局的宝贵工具。