Protein Data Bank中抗体的自动识别

我们发展了一种名为KIAb（Keyword-based Identification of Antibodies）的方法用于自动识别Protein Data Bank（PDB）中的抗体结构。该方法通过读取PDB格式的文件，查找与抗体相关的特定关键词并做出判断。我们使用该方法从PDB中识别出780个结构文件，经人工检查其中767个为抗体，成功率高达98.3%。结果基本包括了抗体结构数据库Summary of Antibody Crystal Structures（SACS）中收录的所有条目，而且还包括该数据库没有收录的34个抗体结构。因此该方法对PDB数据库中抗体的识别更为完备而且具有很低的假阳性率。

Automatic Identification of Antibodies in the Protein Data Bank

An automatic method has been developed for identifying antibody entries in the protein data bank (PDB). Our method, called KIAb (Keyword‐based Identification of Antibodies), parses PDB‐format files to search for particular keywords relevant to antibodies, and makes judgment accordingly. Our method identified 780 entries as antibodies on the entire PDB. Among them, 767 entries were confirmed by manual inspection, indicating a high success rate of 98.3%. Our method recovered basically all of the entries compiled in the Summary of Antibody Crystal Structures (SACS) database. It also identified a number of entries missed by SACS. Our method thus provides a more complete mining of antibody entries in PDB with a very low false positive rate.