Literature DB >> 8377028

MEPSIM: a computational package for analysis and comparison of molecular electrostatic potentials.

F Sanz1, F Manaut, J Rodríguez, E Lozoya, E López-de-Briñas.   

Abstract

MEPSIM is a computational system which allows an integrated computation, analysis, and comparison of molecular electrostatic potential (MEP) distributions. It includes several modules. Module MEPPLA supplies MEP values for the points of a grid defined on a plane which is specified by a set of three points. The results of this program can easily be converted into MEP maps using third-parties graphical software. Module MEPMIN allows to find automatically the MEP minima of a molecular system. It supplies the cartesian coordinates of these minima, their values, and all the geometrical relationships between them (distances, angles, and dihedral angles). Module MEPCOMP computes a similarity coefficient between the MEP distributions of two molecules and finds their relative position that maximizes the similarity. Module MEPCONF performs the same process as MEPCOMP, considering not only the relative position of both molecules but also a conformational degree of freedom of one of them. The most recently developed module, MEPPAR, is another modification of MEPCOMP in order to compute the MEP similarity between two molecules, but only taking into account a particular plane. The latter module is particularly useful to compare MEP distributions generated by pi systems of aromatic rings. MEPSIM can use several wavefunction computation approaches to obtain MEP distributions. MEPSIM has a menu type interface to simplify the following tasks: creation of input files from output files of external programs (GAUSSIAN and AMPAC/MOPAC), setting the parameters for the current computation, and submitting jobs to the batch queues of the computer. MEPSIM has been coded in FORTRAN and its current version runs on VMS/VAX computers.

Mesh:

Year:  1993        PMID: 8377028     DOI: 10.1007/bf00125507

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  3 in total

1.  Electrostatics and computational modelling. Editorial overview.

Authors:  N G Richards; J G Vinter
Journal:  J Comput Aided Mol Des       Date:  1991-02       Impact factor: 3.686

2.  Automatic search for maximum similarity between molecular electrostatic potential distributions.

Authors:  F Manaut; F Sanz; J José; M Milesi
Journal:  J Comput Aided Mol Des       Date:  1991-08       Impact factor: 3.686

3.  Theoretical study of the protonation and tautomerization of adenosine, formycin, and their 2-NH2 and 2-F derivatives: functional implications in the mechanism of reaction of adenosine deaminase.

Authors:  M Orozco; E I Canela; R Franco
Journal:  Mol Pharmacol       Date:  1989-02       Impact factor: 4.436

  3 in total
  8 in total

1.  A molecular-field-based similarity study of non-nucleoside HIV-1 reverse transcriptase inhibitors. 2. The relationship between alignment solutions obtained from conformationally rigid and flexible matching.

Authors:  J Mestres; D C Rohrer; G M Maggiora
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

2.  Mixed QM/MM molecular electrostatic potentials.

Authors:  B Hernández; F J Luque; M Orozco
Journal:  J Comput Aided Mol Des       Date:  2000-05       Impact factor: 3.686

3.  Neuronal nicotinic receptor agonists: a multi-approach development of the pharmacophore.

Authors:  O Nicolotti; M Pellegrini-Calace; A Carrieri; C Altomare; N B Centeno; F Sanz; A Carotti
Journal:  J Comput Aided Mol Des       Date:  2001-09       Impact factor: 3.686

4.  Three-dimensional modelling of human cytochrome P450 1A2 and its interaction with caffeine and MeIQ.

Authors:  J J Lozano; E López-de-Briñas; N B Centeno; R Guigó; F Sanz
Journal:  J Comput Aided Mol Des       Date:  1997-07       Impact factor: 3.686

5.  Similarity searching in files of three-dimensional chemical structures: representation and searching of molecular electrostatic potentials using field-graphs.

Authors:  D A Thorner; P Willett; P M Wright; R Taylor
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

6.  Structure-affinity relationships for the binding of actinomycin D to DNA.

Authors:  J Gallego; A R Ortiz; B de Pascual-Teresa; F Gago
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

7.  The matching of electrostatic extrema: a useful method in drug design? A study of phosphodiesterase III inhibitors.

Authors:  R P Apaya; B Lucchese; S L Price; J G Vinter
Journal:  J Comput Aided Mol Des       Date:  1995-02       Impact factor: 3.686

8.  A molecular modeling study of inhibitors of nuclear factor kappa-B (p50)--DNA binding.

Authors:  Vineet Pande; Rakesh K Sharma; Jun-Ichiro Inoue; Masami Otsuka; Maria J Ramos
Journal:  J Comput Aided Mol Des       Date:  2003-12       Impact factor: 3.686

  8 in total

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