Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Expanding protein universe and its origin from the biological Big Bang.

Literature DB >> 12384571

Expanding protein universe and its origin from the biological Big Bang.

Nikolay V Dokholyan¹, Boris Shakhnovich, Eugene I Shakhnovich.

Abstract

The bottom-up approach to understanding the evolution of organisms is by studying molecular evolution. With the large number of protein structures identified in the past decades, we have discovered peculiar patterns that nature imprints on protein structural space in the course of evolution. In particular, we have discovered that the universe of protein structures is organized hierarchically into a scale-free network. By understanding the cause of these patterns, we attempt to glance at the very origin of life.

Mesh：

Substances：
Proteins

Year: 2002 PMID： 12384571 PMCID： PMC137849 DOI： 10.1073/pnas.202497999

Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN： 0027-8424 Impact factor: 11.205

31 in total

Expanding protein universe and its origin from the biological Big Bang.

1. Emergence of scaling in random networks

2. The distribution of structures in evolving protein populations.

3. Plasticity of fitness and diversification process during an experimental molecular evolution.

4. Automated assignment of SCOP and CATH protein structure classifications from FSSP scores.

5. Understanding hierarchical protein evolution from first principles.

Review 6. The classification and origins of protein folding patterns.

7. Why are some proteins structures so common?

8. Protein design: a perspective from simple tractable models

9. An evolutionary treasure: unification of a broad set of amidohydrolases related to urease.

Review 10. Why are the same protein folds used to perform different functions?

1. Predicting protein functions from redundancies in large-scale protein interaction networks.

2. Protein complexes and functional modules in molecular networks.

3. Energy landscape and dynamics of the beta-hairpin G peptide and its isomers: Topology and sequences.

4. Protein evolution within a structural space.

5. Comparative analysis of protein domain organization.

6. Imprint of evolution on protein structures.

7. Scale-free networks versus evolutionary drift.

8. Sequence space and the ongoing expansion of the protein universe.

9. How significant is a protein structure similarity with TM-score = 0.5?

10. Network visualization of conformational sampling during molecular dynamics simulation.