Artificial intelligence in fusion protein three-dimensional structure prediction: Review and perspective.

ABSTRACT: Recent advancements in artificial intelligence (AI) have accelerated the prediction of unknown protein structures. However, accurately predicting the three-dimensional (3D) structures of fusion proteins remains a difficult task because the current AI-based protein structure predictions are focused on the WT proteins rather than on the newly fused proteins in nature. Following the central dogma of biology, fusion proteins are translated from fusion transcripts, which are made by transcribing the fusion genes between two different loci through the chromosomal rearrangements in cancer. Accurately predicting the 3D structures of fusion proteins is important for understanding the functional roles and mechanisms of action of new chimeric proteins. However, predicting their 3D structure using a t

SUBMITTER: Kumar H 

PROVIDER: S-EPMC11294035 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature