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Subcellular location prediction of apoptosis proteins
TLDR
An attempt to identify the subcellular location of apoptosis proteins according to their sequences by means of the covariant discriminant function, which was established based on the Mahalanobis distance and Chou's invariance theorem. Expand
Support Vector Machines for predicting protein structural class
TLDR
It is expected that the Support Vector Machine method and the elegant component-coupled method, if complemented with each other, can provide a powerful computational tool for predicting the structural classes of proteins. Expand
Characterization by NMR and molecular modeling of the binding of polyisoprenols and polyisoprenyl recognition sequence peptides: 3D structure of the complexes reveals sites of specific interactions.
TLDR
These studies represent the first evidence for a direct physical interaction between specific contact amino acids in the PIRS peptides and the PI and supports the hypothesis of a bifunctional role for the PIs. Expand
Support vector machines for predicting membrane protein types by using functional domain composition.
TLDR
The Support Vector Machine algorithm, developed for predicting the membrane protein type based on the pseudo-amino acid composition that has incorporated quasi-sequence-order effect as recently proposed by K. C. Chou (2001), may become a very useful high-throughput tool in the area of bioinformatics and proteomics. Expand
The pH-triggered conversion of the PrP(c) to PrP(sc.).
TLDR
Current knowledge on the following five issues relevant to the conversion mechanisms of PrP(c) to PrP (sc) Conversion are reviewed, which may help to further understand the prion protein misfolding mechanism. Expand
Probing the Interaction between the Coiled Coil Leucine Zipper of cGMP-dependent Protein Kinase Iα and the C Terminus of the Myosin Binding Subunit of the Myosin Light Chain Phosphatase*
TLDR
Structural and biophysical data support a role for the LZ domain of PKG-Iα and the CC domain of MBS in this requisite contractile complex. Expand
Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition.
TLDR
It is anticipated that the current method will become a useful automated tool in identifying the enzymatic attribute of a newly found protein sequence with the rapid increase of protein sequences entering into databanks. Expand
Rapid and accurate structure determination of coiled-coil domains using NMR dipolar couplings: application to cGMP-dependent protein kinase Ialpha.
TLDR
This work describes a solution NMR approach based on residual dipolar couplings (RDCs) for rapid and accurate structure determination of coiled-coil dimers that was able to determine the high-resolution structure of the coiled -coil domain of cGMP-dependent protein kinase Ialpha, a protein of previously unknown structure that is critical for physiological relaxation of vascular smooth muscle. Expand
Detailed biophysical characterization of the acid-induced PrP(c) to PrP(β) conversion process.
TLDR
It is found that acid-induced PrP(β) oligomers could be converted to fibrils without the use of chaotropic denaturants, and this finding represents one of the first examples wherein physiologically accessible conditions were used to achieve PrP conversion and fibril formation. Expand
NMR study of the preferred membrane orientation of polyisoprenols (dolichol) and the impact of their complex with polyisoprenyl recognition sequence peptides on membrane structure.
TLDR
The addition of a polyisoprenol recognition sequence (PIRS) peptide to nonlamellar membranes induced by the PIs can reverse the hexagonal structure phase back to a lamellar structure, a finding that may help to better understand how glycosyl carrier-linked sugar chains may traverse membranes. Expand
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