CoDNaS: a database of conformational diversity in the native state of proteins
نویسندگان
چکیده
MOTIVATION Conformational diversity is a key concept in the understanding of different issues related with protein function such as the study of catalytic processes in enzymes, protein-protein recognition, protein evolution and the origins of new biological functions. Here, we present a database of proteins with different degrees of conformational diversity. Conformational Diversity of Native State (CoDNaS) is a redundant collection of three-dimensional structures for the same protein derived from protein data bank. Structures for the same protein obtained under different crystallographic conditions have been associated with snapshots of protein dynamism and consequently could characterize protein conformers. CoDNaS allows the user to explore global and local structural differences among conformers as a function of different parameters such as presence of ligand, post-translational modifications, changes in oligomeric states and differences in pH and temperature. Additionally, CoDNaS contains information about protein taxonomy and function, disorder level and structural classification offering useful information to explore the underlying mechanism of conformational diversity and its close relationship with protein function. Currently, CoDNaS has 122 122 structures integrating 12 684 entries, with an average of 9.63 conformers per protein. AVAILABILITY The database is freely available at http://www.codnas.com.ar/.
منابع مشابه
CoDNaS 2.0: a comprehensive database of protein conformational diversity in the native state
CoDNaS (conformational diversity of the native state) is a protein conformational diversity database. Conformational diversity describes structural differences between conformers that define the native state of proteins. It is a key concept to understand protein function and biological processes related to protein functions. CoDNaS offers a well curated database that is experimentally driven, t...
متن کاملLtter Fast T rck Protein Conformational Diversity Correlates with Evolutionary Rate
Native state of proteins is better represented by an ensemble of conformers in equilibrium than by only one structure. The extension of structural differences between conformers characterizes the conformational diversity of the protein. In this study, we found a negative correlation between conformational diversity and protein evolutionary rate. Conformational diversity was expressed as the max...
متن کاملمقایسه واکنش پروتئین های طبیعی و واسرشته پیکره بروسلا آبورتوس (سویه S19) با آنتی بادیهای سرم بیماران با روش کروماتوگرافی جذبی و وسترن بلات
Western blotting or immunoblotting commonly use for study of reaction between antigens and antibodies. Denaturation of many proteins in immunoblotting can affect greatly the reactivity of antibodies and outcome of the procedure. In this study proteins of Brucella abortus (S19) was extracted by a mild method and reaction of the extracted proteins with serum of infected&nbs...
متن کاملMyostatin Gene Polymorphism and Its Association with Production Traits in Western Azerbaijan Native Chickens
In the present study, the polymorphism of myostatin gene (MSTN) in native chickens of Western Azerbaijan Rearing and Breeding Institute was investigated. The blood samples were collected from eighty two randomly selected hens. Genomic DNA was extracted from blood samples and a fragment of myostatin including 599 bp in promoter and exon 1 was amplified using PCR method. Breeding values for body ...
متن کاملProtein conformational diversity modulates sequence divergence.
It is well established that the conservation of protein structure during evolution constrains sequence divergence. The conservation of certain physicochemical environments to preserve protein folds and then the biological function originates a site-specific structurally constrained substitution pattern. However, protein native structure is not unique. It is known that the native state is better...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Bioinformatics
دوره 29 19 شماره
صفحات -
تاریخ انتشار 2013