Biomedical subjects

J Cedano

Publications and source records attributed to J Cedano.

5 recordsLinked to original sources

PubMed2003

Cloning, expression and purification of human epidermal growth factor using different expression systems.

Epidermal growth factor (EGF) is a protein that belongs to the family of growth factors that bind the ErbB receptors, which play a prominent role in the development of carcinomas. We had demonstrated that potato carboxypeptidase inhibitor (PCI) acts as an EGF antagonist. Because of the low affinity of PCI for the epidermal growth factor receptor, it was decided to design EGF mutants with PCI abilities. In order to achieve this we have first cloned, expressed and purified the native protein, EGF. Different expression systems with different locations of the recombinant protein were designed and a purification protocol was designed with those which allowed expression of EGF. Finally, the sample needed folding. Differences in the amount of EGF obtained and its activity were observed depending on the expression system used.

Cloning, Molecular↗

PubMed2001

The gene causing the Best's macular dystrophy (BMD) encodes a putative ion exchanger.

Best's macular dystrophy (BMD), also known as vitelliform macular degeneration type 2, is an autosomal dominant disease that causes loss of vision. The causative gene encodes a 585 amino acids protein called bestrophin with unknown function. From bioinformatics analysis, a putative ion exchanger function for bestrophin can be suggested.

Bestrophins↗

PubMed1997

Relation between amino acid composition and cellular location of proteins.

A correlation analysis of the amino acid composition and the cellular location of a protein is presented. The statistical analysis discriminates among the following five protein classes: integral membrane proteins, anchored membrane proteins, extracellular proteins, intracellular proteins and nuclear proteins. This segregation into protein classes related to their location can help researchers to design experimental work for testing hypotheses in order to find out the functionality of a reading frame in search of function. A program (ProtLock) to predict the cellular location of a protein has been designed.

Algorithms↗

PubMed1997

'TransMem': a neural network implemented in Excel spreadsheets for predicting transmembrane domains of proteins.

MOTIVATION: Genomic sequences from different organisms, even prokaryotic, have plenty of orphan ORFs, making necessary methods for the prediction of protein structure and function. The prediction of the presence of hydrophobic transmembrane (HTM) stretches is a valuable clue for this. RESULTS: The program. TransMem, based on a neural network and running on personal computers (either Apple Macintosh or PC, using Excel worksheets), for the prediction and distribution of amino acid residues in transmembrane segments of integral membrane proteins is reported. The percentage of residue predictive accuracy obtained for the set of proteins tested is 93%, ranging from 99.9% for the best to 71.7% for the worst prediction. The segment-based accuracy is 93.6%; 63.6% of the protein set match any of the predicted and observed segment locations. AVAILABILITY: TransMem is available upon request or by anonymous up: IP address: luz.uab.es, directory/pub/ TransMem. It is also placed on the EMBL file server (ftp:/(/)ftp.ebi.ac.uk/pub/software/mac/TransMem ).

Animals↗

PubMed1994

An Excel spreadsheet computer program combining algorithms for prediction of protein structural characteristics.

A program running on personal computers (either Apple Macintosh or PC, using Excel worksheets) for the prediction of some protein structural characteristics is reported. The program runs according to the Chou and Fasman algorithm, with some modifications, for secondary structure prediction. The program also incorporates several complementary analyses for secondary structure prediction to help the user in the decision-making process: rules for amino acid preferences in the N-cap and C-cap of alpha-helices; prediction of the protein structural class and search of sequential motifs related to secondary structure. Additional algorithms performed by the program are: prediction of domain boundaries, prediction of loops, prediction of the state of cysteines (reduced or in disulfide bridge), hydropathy profiles according to Kyte and Doolittle, Hoop and Woods, and flexibility plot according to Karplus and Schulz.

Algorithms↗