Structural bioinformatics of the human spliceosomal proteome

Area of Science:

• Biochemistry
• Structural Biology
• Bioinformatics

Background:

• The spliceosome is a large and dynamic molecular machine essential for gene expression.
• Understanding the structure of spliceosomal proteins is crucial for deciphering its function.

Purpose of the Study:

• To perform a comprehensive structural bioinformatics analysis of the spliceosomal proteome.
• To identify novel protein domains and determine structures of known domains within human splicing proteins.
• To create a structural model of the spliceosome for future research.

Main Methods:

• Fold recognition analysis was employed to analyze ordered domains of 252 human splicing proteins.
• Experimental structures were supplemented with in silico models for regions lacking experimental data.
• Comparative analysis was performed on the spliceosomal proteome of Giardia lamblia.

Main Results:

• Newly identified domains, such as the PWI domain in hBrr2, and newly determined folds, like the DUF1115 domain in hPrp3, were described.
• A non-redundant set of experimental and in silico structural models for spliceosomal proteins was generated.
• Over 90% of the ordered regions of the spliceosomal proteome were structurally represented with high confidence.
• A candidate set of ordered structural regions necessary for a functional spliceosome in Giardia lamblia was proposed.

Conclusions:

• The generated structural models provide a valuable resource for experimental and structural studies of spliceosomal proteins and complexes.
• This work serves as a foundation for multiscale modeling of the entire spliceosome structure.
• The analysis contributes to a deeper understanding of spliceosome evolution and function across different organisms.