Literature DB >> 16180899

Information content in organic molecules: aggregation states and solvent effects.

Daniel J Graham1.   

Abstract

The information content of organic molecules has been the subject of a series of papers from this lab. The investigation continues as aggregation states and some of their attendant solvent effects are examined. An organic molecule operates as an information source not in a vacuum but rather in conjunction with one or more solvent compounds. Accordingly, solvents (ethanol, acetone, etc.) furnish both a source and a channel that modify molecular information. In this paper, Brownian techniques are developed further so as to quantify molecular information with aggregation states taken into account. Several applications follow concerning organic acid ionization in solution, tautomerization reactions, and molecular activity at biological receptor sites. The goal is to advance Brownian processing as a means of probing molecular information and its communication. To this end, practical examples are offered relating structure and function along informatic lines.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16180899     DOI: 10.1021/ci050101m

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

1.  On the information expressed in enzyme primary structure: lessons from Ribonuclease A.

Authors:  Daniel J Graham; Jessica L Greminger
Journal:  Mol Divers       Date:  2009-11-17       Impact factor: 2.943

2.  Prediction of multi-target networks of neuroprotective compounds with entropy indices and synthesis, assay, and theoretical study of new asymmetric 1,2-rasagiline carbamates.

Authors:  Francisco J Romero Durán; Nerea Alonso; Olga Caamaño; Xerardo García-Mera; Matilde Yañez; Francisco J Prado-Prado; Humberto González-Díaz
Journal:  Int J Mol Sci       Date:  2014-09-24       Impact factor: 5.923

3.  Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems.

Authors:  Enrique Barreiro; Cristian R Munteanu; Maykel Cruz-Monteagudo; Alejandro Pazos; Humbert González-Díaz
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

4.  IFPTML Mapping of Drug Graphs with Protein and Chromosome Structural Networks vs. Pre-Clinical Assay Information for Discovery of Antimalarial Compounds.

Authors:  Viviana Quevedo-Tumailli; Bernabe Ortega-Tenezaca; Humberto González-Díaz
Journal:  Int J Mol Sci       Date:  2021-12-02       Impact factor: 5.923

5.  Alignment-Free Method to Predict Enzyme Classes and Subclasses.

Authors:  Riccardo Concu; M Natália D S Cordeiro
Journal:  Int J Mol Sci       Date:  2019-10-29       Impact factor: 5.923

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.