Anti-CASP2 polyclonal antibody

Protein structure prediction is arguably the biggest unsolved problem of structural biology, The notion of the number of naturally occurring different protein folds being limited allows partial solution of this problem by the use of fold recognition methods, which "thread" the sequence in question through a library of known protein folds, The fold recognition methods were thought to be superior to the distant homology recognition methods when there is no significant sequence similarity to known structures, We show here that the Structural Classification of Proteins (SCOP) database, organizing all known protein folds according their structural and evolutionary relationships, can be effectively used to enhance the sensitivity of the distant homology recognition methods to rival the "threading" methods, In the CASP2 experiment, our approach correctly assigned into existing SCOP superfamilies all of the six "fold recognition" targets we attempted, For each of the six targets, we correctly predicted the homologous protein with a very similar structure; often, it was the most similar structure, We correctly predicted local alignments of the sequence features that we found to be characteristic for the protein superfamily containing a given target, Our global alignments, extended manually from these local alignments, also appeared to be rather accurate. (C) 1998 Wiley-Liss, Inc.

Background: In the search for generic expression strategies for mammalian protein families several bacterial expression vectors were examined for their ability to promote high yields of soluble protein. Proteins studied included cell surface receptors (Ephrins and Eph receptors, CD44), kinases (EGFR-cytoplasmic domain, CDK2 and 4), proteases (MMP1, CASP2), signal transduction proteins (GRB2, RAF1, HRAS) and transcription factors (GATA2, Fli1, Trp53, Mdm2, JUN, FOS, MAD, MAX). Over 400 experiments were performed where expression of 30 full-length proteins and protein domains were evaluated with 6 different N-terminal and 8 C-terminal fusion partners. Expression of an additional set of 95 mammalian proteins was also performed to test the conclusions of this study. Results: Several protein features correlated with soluble protein expression yield including molecular weight and the number of contiguous hydrophobic residues and low complexity regions. There was no relationship between successful expression and protein pI, grand average of hydropathicity (GRAVY), or sub-cellular location. Only small globular cytoplasmic proteins with an average molecular weight of 23 kDa did not require a solubility enhancing tag for high level soluble expression. Thioredoxin (Trx) and maltose binding protein (MBP) were the best N-terminal protein fusions to promote soluble expression, but MBP was most effective as a C-terminal fusion. 63 of 95 mammalian proteins expressed at soluble levels of greater than 1 mg/l as N-terminal H10-MBP fusions and those that failed possessed, on average, a higher molecular weight and greater number of contiguous hydrophobic amino acids and low complexity regions. Conclusions: By analysis of the protein features identified here, this study will help predict which mammalian proteins and domains can be successfully expressed in E. coli as soluble product and also which are best targeted for a eukaryotic expression system. In some cases proteins may be truncated to minimise molecular weight and the numbers of contiguous hydrophobic amino acids and low complexity regions to aid soluble expression in E. coli.