title: Modularity: a new perspective in biology.
abstract: Several decades of research in biochemistry and molecular biology have been devoted for studies on isolated enzymes and proteins. Recent high throughput technologies in genomics and proteomics have resulted in avalanche of information about several genes, proteins and enzymes in variety of living systems. Though these efforts have greatly contributed to the detailed understanding of a large number of individual genes and proteins, this explosion of information has simultaneously brought out the limitations of reductionism in understanding complex biological processes. The genes or gene products do not function in isolation in vivo. A delicate and dynamic molecular architecture is required for precision of the chemical reactions associated with "life". In future, a paradigm shift is, therefore, envisaged, in biology leading to exploration of molecular organizations in physical and genomic context, a subtle transition from conventional molecular biology to modular biology. A module can be defined as an organization of macromolecules performing a synchronous function in a given metabolic pathway. In modular biology, the biological processes of interest are explored as complex systems of functionally interacting macromolecules. The present article describes the perceptions of the concept of modularity, in terms of associations among genes and proteins, presenting a link between reductionist approach and system biology.
authors.affiliation: Molecular Biology Division, Bhabha Atomic Research Center, Mumbai 400085, India.
authors.forename: Diksha N
authors.initials: DN
authors.lastname: Dani
authors.forename: Jayashree K
authors.initials: JK
authors.lastname: Sainis
mesh_terms: D000818:Animals; D001695:Biology / Q000379:methods; D001703:Biophysics / Q000379:methods; D016678:Genome; D023281:Genomics; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D008967:Molecular Biology / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis; D040901:Proteomics / Q000379:methods; D049490:Systems Biology; D014158:Transcription, Genetic