各種不同的蛋白質交互作用在許多生物功能中扮演著關鍵的角色。這些交互作用有許多不同的種類，比如說物理上的接觸或是功能上的相關，使得蛋白質間的交互作用更為複雜。這些不同的交互作用種類在性質上非常不同，應該區分清楚。然而，大部分現存的分析工具都集中在單一種類的蛋白質交互作用，或是把多種交互作用種類混和當成同一種的蛋白質交互作用。本研究從五個不同的資料庫收集了7234058筆蛋白質交互作用，並且針對不同的交互作用種類建立預測模型。經由實驗分析不同交互作用種類的預測效能。本研究所提出的方法已經實作成一個能夠預測蛋白質交互作用以及其交互作用種類的網站，稱為PRASA。PRASA提供一個簡潔的整合平台，讓使用者能夠容易的瀏覽蛋白質與蛋白質之間的關係，進一步了解蛋白質在生命中所扮演的角色。

Various protein interactions are essential to many biological functions. The existence of diverse types, such as physically contacted or functionally related, makes protein interactions more complicated. These different interaction types are quite distinct and should not be confused with one another. However, most of existing tools either focused on a specific interaction type or mixed different ones. In this study, we collected 7234058 interactions with experimentally verified interaction types from five databases and compiled individual probabilistic models for different types of interactions. The experimental results show the performance of PRASA on different interaction types. The proposed method has been implemented as a web site, named PRASA, which predicts protein interactions as well as the interaction types. PRASA provides a centralized and organized platform for easily browsing, downloading and comparing the interaction types, which helps to reveal more insights of the complicated roles that the proteins play in organisms.

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