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In CDK-cyclin complexes, this activation region is composed of a conserved αL-12 Helix and contains a key phosphorylatable residue (usually Threonine for CDK-cyclin partners, but also includes Serine and Tyrosine) that mediates the enzymatic activity of the CDK. It is at this essential residue (T160 in CDK2 complexes, T177 in CDK6 complexes ...
A Primary Key is a set of attributes that uniquely identifies items in a DynamoDB Table. Creation of a DynamoDB Table requires definition of a Primary Key. Each item in a DynamoDB Table is required to have all of the attributes that constitute the Primary Key, and no two items in a Table can have the same Primary Key.
Without cyclin, CDK is less active than in the cyclin-CDK heterodimer complex. [ 5 ] [ 6 ] CDKs phosphorylate proteins on serine (S) or threonine (T) residues. The specificity of CDKs for their substrates is defined by the S/T-P-X-K/R sequence, where S/T is the phosphorylation site, P is proline, X is any amino acid, and the sequence ends with ...
CDK-activating kinase (CAK) activates the cyclin-CDK complex by phosphorylating threonine residue 160 in the CDK activation loop. CAK itself is a member of the Cdk family and functions as a positive regulator of Cdk1 , Cdk2 , Cdk4 , and Cdk6 .
Dynamo is a set of techniques that together can form a highly available key-value structured storage system [1] or a distributed data store. [1] It has properties of both databases and distributed hash tables (DHTs).
State-transition tables are sometimes one-dimensional tables, also called characteristic tables. They are much more like truth tables than their two-dimensional form. The single dimension indicates inputs, current states, next states and (optionally) outputs associated with the state transitions.
In a database, a table is a collection of related data organized in table format; consisting of columns and rows.. In relational databases, and flat file databases, a table is a set of data elements (values) using a model of vertical columns (identifiable by name) and horizontal rows, the cell being the unit where a row and column intersect. [1]
Rainbow tables are a practical example of a space–time tradeoff: they use less computer processing time and more storage than a brute-force attack which calculates a hash on every attempt, but more processing time and less storage than a simple table that stores the hash of every possible password.