Literature DB >> 12871712

DISCO--a general computer program for the computation of acid dissociation constants of polyprotic molecules in water and biological fluids, from nuclear magnetic resonance data: application to polyamines.

Fabiano Reniero1, Claude Guillou, Chiara Frassineti, Stefano Ghelli.   

Abstract

A new computer program, DISCO, running under Windows, has been developed under the project CSA98P22 falling within the Competitive Support Activities initiative launched within the EU 4th Framework Programme. DISCO allows the calculation of the stepwise acid dissociation constants of polyprotic molecules in water and in complex media (i.e., biofluids, etc.) from nuclear magnetic resonance (NMR) data (chemical shifts) by means of two derivative-free methods: Pit-mapping and Simplex. DISCO performances were tested using simulated-unaffected by experimental error-data sets, for systems having up to seven equilibrium constants and experimental NMR data of spermine, 6-monofluorospermine, and 6,6-difluorospermine, dissolved in D(2)O and in physiological solution (D(2)O/NaCl). Results demonstrated that (i) DISCO enables the determination of pK(A) values with high precision even when small-sized raw data sets are employed, when chemical shifts are measured with low precision (the usual condition in biofluids due to the impossibility to obtain narrow line shape), and when the guess solution, necessary as an initial step of the mathematical iterative process, is fixed within a large interval of variation; (ii) DISCO always converges to the root; (iii) DISCO permits the calculation of pK(A) values which lie within the observed pH range, independent of the narrowness of the pH range.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12871712     DOI: 10.1016/s0003-2697(03)00300-2

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  1 in total

1.  Synthesis and binding studies of two new macrocyclic receptors for the stereoselective recognition of dipeptides.

Authors:  Ana Maria Castilla; M Morgan Conn; Pablo Ballester
Journal:  Beilstein J Org Chem       Date:  2010-01-19       Impact factor: 2.883

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.