PIDD: database for Protein Inter-atomic Distance Distributions

PIDD: database for Protein Inter-atomic Distance Distributions

Protein Inter-atomic Distance Distributions (PIDD) is a dedicated database and structural bio-informatics system for distance based protein modeling. The database is developed to host and analyze the statistical data for protein inter-atomic distances based on their distributions in databases of known protein structures such as in the Protein Data Bank (PDB). PIDD is capable of generating, cach...

A hybrid approach for database intrusion detection at transaction and inter-transaction levels

Nowadays, information plays an important role in organizations. Sensitive information is often stored in databases. Traditional mechanisms such as encryption, access control, and authentication cannot provide a high level of confidence. Therefore, the existence of Intrusion Detection Systems in databases is necessary. In this paper, we propose an intrusion detection system for detecting attacks...

A linear-time algorithm for solving the molecular distance geometry problem with exact inter-atomic distances

We describe a linear-time algorithm for solving the molecular distance geometry problem with exact distances between all pairs of atoms. This problem needs to be solved in every iteration of general distance geometry algorithms for protein modeling such as the EMBED algorithm by Crippen and Havel (Distance Geometry and Molecular Conformation, Wiley, 1988). However, previous approaches to the pr...

Photoelectron angular distributions for atomic chlorine.

Using Inter-ridge Distance for Fingerprint Classification

An average inter-ridge distance (AID) computation method is proposed, and the average inter-ridge distance is used to classify fingerprint images. This method is experimentally proved to be able to speed up retrieving a fingerprint from the template database that is organized according to the inter -ridge distance. Inter-ridge distance-based classification method has the property of being able ...