Special Issue "Algorithms and Molecular Sciences"

Guest Editor
Prof. Dr. Frank Hsu
Department of Computer & Information Sciences, Fordham University, 340 John Mulcahy Hall, 441 East Fordham Road, Bronx NY 10458, USA
Website: http://www.cis.fordham.edu/faculty/Frank-Hsu.html
E-mail:

Guest Editor
Dr. Christina Schweikert
Department of Computer & Information Sciences, Fordham University, 328 John Mulcahy Hall, 441 East Fordham Road, Bronx NY 10458, USA
Website: http://www.cis.fordham.edu/faculty/Christina-Schweikert.html
E-mail:

Related Special Issue: Algorithms and Molecular Sciences in the International Journal of Molecular Sciences

Submission

All papers should be submitted to algorithms@mdpi.org. To be published continuously until the deadline and papers will be listed together at the special issue website.

Submitted papers should not have been published nor be under consideration for publication elsewhere. All papers are refereed through a peer-review process. A guide for authors is available on the Instructions for Authors page. Algorithms is an international peer-reviewed quarterly journal published by Molecular Diversity Preservation International.

Open Access publication fees are 300 CHF per paper. English correction fees and/or formatting fees (250 CHF) will be added in certain cases (550 CHF per paper for those papers that require extensive additional formatting and/or English corrections.).

Article Processing Charges (APC)

Article Processing Charges (APC) will be waived for well prepared manuscripts of invited papers. For the first two volumes of this new journal the APC are of 300 CHF (or 550 CHF per paper for those papers that require extensive additional formatting and/or English corrections).

Algorithms and Molecular Sciences

Title: Association Rules and Biological Data: a Huge Amount of Extracted Knowledge
Author: Simona Rossi

Type of Paper: Review
Title: Algorithms for the Analysis of Protein Fluorescence Spectra and Their Correlation with Protein Structural Parameters
Authors: John Hixon and Yana K. Reshetnyak
Affiliations: Physics Department, University of Rhode Island, 2 Lippitt Rd, Kingston, RI 02881, USA
Abstract: The fluorescence parameters of tryptophan residues are sensitive to the microenvironment of fluorophores in protein structure. Therefore, fluorescence characteristics are widely used to study structural transitions in proteins. However, the decoding of the structural information from spectroscopic data is challenging. Here we present a review of algorithms for the decomposition of multi-component protein fluorescence spectra and the correlation of these spectral parameters with protein structural properties.