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Evidence for the preferential reuse of sub‐domain motifs in primordial protein folds
- Publication Year :
- 2021
- Publisher :
- Universität Regensburg, 2021.
-
Abstract
- A comparison of protein backbones makes clear that not more than approximately 1400 different folds exist, each specifying the three-dimensional topology of a protein domain. Large proteins are composed of specific domain combinations and many domains can accommodate different functions. These findings confirm that the reuse of domains is key for the evolution of multi-domain proteins. If reuse was also the driving force for domain evolution, ancestral fragments of sub-domain size exist that are shared between domains possessing significantly different topologies. For the fully automated detection of putatively ancestral motifs, we developed the algorithm Fragstatt that compares proteins pairwise to identify fragments, that is, instantiations of the same motif. To reach maximal sensitivity, Fragstatt compares sequences by means of cascaded alignments of profile Hidden Markov Models. If the fragment sequences are sufficiently similar, the program determines and scores the structural concordance of the fragments. By analyzing a comprehensive set of proteins from the CATH database, Fragstatt identified 12 532 partially overlapping and structurally similar motifs that clustered to 134 unique motifs. The dissemination of these motifs is limited: We found only two domain topologies that contain two different motifs and generally, these motifs occur in not more than 18% of the CATH topologies. Interestingly, motifs are enriched in topologies that are considered ancestral. Thus, our findings suggest that the reuse of sub-domain sized fragments was relevant in early phases of protein evolution and became less important later on.
- Subjects :
- Models, Molecular
Protein Folding
Computer science
Protein Conformation
Amino Acid Motifs
Origin of Life
Computational biology
Reuse
Biochemistry
History, 21st Century
Domain evolution
Protein evolution
Domain (software engineering)
Evolution, Molecular
03 medical and health sciences
Protein Domains
Structural Biology
570 Biowissenschaften, Biologie
Amino Acids
Hidden Markov model
Databases, Protein
Molecular Biology
History, Ancient
030304 developmental biology
0303 health sciences
030302 biochemistry & molecular biology
A protein
Proteins
Markov Chains
Fully automated
ancient modules, domain evolution, fold space, protein evolution
ddc:570
Algorithms
Software
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....0d68db37bf6ba515f87a2d7c8fda8b5b
- Full Text :
- https://doi.org/10.5283/epub.45812