Sirugue Léa, Langenfeld Florent, Lagarde Nathalie, Montes Matthieu
Laboratoire GBCM, EA7528, Conservatoire National des Arts et Métiers, Hesam Université, 2, rue Conté, Paris, 75003, France.
Comput Struct Biotechnol J. 2023 Dec 11;26:1-10. doi: 10.1016/j.csbj.2023.12.002. eCollection 2024 Dec.
The study of protein molecular surfaces enables to better understand and predict protein interactions. Different methods have been developed in computer vision to compare surfaces that can be applied to protein molecular surfaces. The present work proposes a method using the Wave Kernel Signature: Protein LOcal Surficial Similarity Screening (PLO3S). The descriptor of the PLO3S method is a local surface shape descriptor projected on a unit sphere mapped onto a 2D plane and called Surface Wave Interpolated Maps (SWIM). PLO3S allows to rapidly compare protein surface shapes through local comparisons to filter large protein surfaces datasets in protein structures virtual screening protocols.
对蛋白质分子表面的研究有助于更好地理解和预测蛋白质间的相互作用。计算机视觉领域已开发出不同方法来比较可应用于蛋白质分子表面的表面。目前的工作提出了一种使用波核特征的方法:蛋白质局部表面相似性筛选(PLO3S)。PLO3S方法的描述符是一种局部表面形状描述符,它投影到映射到二维平面的单位球面上,称为表面波插值图(SWIM)。PLO3S允许通过局部比较快速比较蛋白质表面形状,以在蛋白质结构虚拟筛选方案中过滤大型蛋白质表面数据集。