Literature DB >> 2213061

CGEMA and VGAP: a Colour Graphics Editor for Multiple Alignment using a variable GAP penalty. Application to the muscarinic acetylcholine receptor.

H Moereels1, L De Bie, J P Tollenaere.   

Abstract

Today, more than 40 protein amino acid (AA) sequences of membrane receptors coupled to guanine nucleotide binding proteins (G-proteins) are available. For those working in the field of medicinal chemistry, these sequences present a new type of information that should be taken into consideration. To make maximal use of sequence data it is essential to be able to compare different protein sequences in a similar way to that used for small molecules. A prerequisite, however, is the availability of a processing environment that enables one to handle sequences in an easy way, both by hand and by computer. In order to meet these ends, the package CGEMA (Colour Graphics Editor for Multiple Alignment) was developed in our laboratory. The programme uses a user-definable colour coding for the different AAs. Sequences can be aligned by hand or by computer, using VGAP, and both approaches can be combined. VGAP is a novel in-house written alignment programme with a variable gap penalty that also handles consecutive alignments using one sequence as a probe. In addition, secondary structure prediction tools are available. From the 20 protein sequences, available for the muscarinic acetylcholine receptor, 13 different sequences were selected, covering the subtypes m1 to m5. By comparing the sequences, two major groups are revealed that correspond to those found by considering the transducing system coupled to the various receptor subtypes. Different parts of the protein sequences are identified as characterizing the subtype and binding the ligands, respectively.

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Year:  1990        PMID: 2213061     DOI: 10.1007/bf00125315

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


  22 in total

1.  Molecular cloning and expression of a fifth muscarinic acetylcholine receptor.

Authors:  C F Liao; A P Themmen; R Joho; C Barberis; M Birnbaumer; L Birnbaumer
Journal:  J Biol Chem       Date:  1989-05-05       Impact factor: 5.157

2.  Molecular neurobiology. Separating receptor subtypes from their shadows.

Authors:  E A Barnard
Journal:  Nature       Date:  1988-09-22       Impact factor: 49.962

3.  Isolation, sequence, and functional expression of the mouse M1 muscarinic acetylcholine receptor gene.

Authors:  R A Shapiro; N M Scherer; B A Habecker; E M Subers; N M Nathanson
Journal:  J Biol Chem       Date:  1988-12-05       Impact factor: 5.157

4.  Primary structure of rat cardiac beta-adrenergic and muscarinic cholinergic receptors obtained by automated DNA sequence analysis: further evidence for a multigene family.

Authors:  J Gocayne; D A Robinson; M G FitzGerald; F Z Chung; A R Kerlavage; K U Lentes; J Lai; C D Wang; C M Fraser; J C Venter
Journal:  Proc Natl Acad Sci U S A       Date:  1987-12       Impact factor: 11.205

5.  Primary structure of porcine cardiac muscarinic acetylcholine receptor deduced from the cDNA sequence.

Authors:  T Kubo; A Maeda; K Sugimoto; I Akiba; A Mikami; H Takahashi; T Haga; K Haga; A Ichiyama; K Kangawa
Journal:  FEBS Lett       Date:  1986-12-15       Impact factor: 4.124

6.  Identification of residues required for ligand binding to the beta-adrenergic receptor.

Authors:  C D Strader; I S Sigal; R B Register; M R Candelore; E Rands; R A Dixon
Journal:  Proc Natl Acad Sci U S A       Date:  1987-07       Impact factor: 11.205

7.  A novel subtype of muscarinic receptor identified by homology screening.

Authors:  T Braun; P R Schofield; B D Shivers; D B Pritchett; P H Seeburg
Journal:  Biochem Biophys Res Commun       Date:  1987-11-30       Impact factor: 3.575

8.  A simple method for displaying the hydropathic character of a protein.

Authors:  J Kyte; R F Doolittle
Journal:  J Mol Biol       Date:  1982-05-05       Impact factor: 5.469

9.  The random character of protein evolution and its effects on the reliability of phylogenetic information deduced from amino acid sequences and compositions.

Authors:  A Cornish-Bowden
Journal:  Biochem J       Date:  1980-11-01       Impact factor: 3.857

10.  The 2.6-A crystal structure of Pseudomonas putida cytochrome P-450.

Authors:  T L Poulos; B C Finzel; I C Gunsalus; G C Wagner; J Kraut
Journal:  J Biol Chem       Date:  1985-12-25       Impact factor: 5.157

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  2 in total

1.  The sequence homologies of cytochromes P-450 and active-site geometries.

Authors:  D F Lewis; H Moereels
Journal:  J Comput Aided Mol Des       Date:  1992-06       Impact factor: 3.686

Review 2.  Aromatase inhibitors--mechanisms for non-steroidal inhibitors.

Authors:  H V Vanden Bossche; H Moereels; L M Koymans
Journal:  Breast Cancer Res Treat       Date:  1994       Impact factor: 4.872

  2 in total

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