Biomedical subjects

Zhi-Ping Feng

Publications and source records attributed to Zhi-Ping Feng.

7 recordsLinked to original sources

PubMed2006

Using amino acid and peptide composition to predict membrane protein types.

Membrane proteins play an important role in many biological processes and are attractive drug targets. Determination of membrane protein structures or topologies by experimental methods is expensive and time consuming. Effective computational method in predicting the membrane protein types can provide useful information for large amount of protein sequences emerging in the post-genomic era. Although numerous algorithms have addressed this issue, the methods of extracting efficient protein sequence information are very limit. In this study, we provide a method of extracting high order sequence information with the stepwise discriminant analysis. Some important amino acids and peptides that are distinct for different types of the membrane proteins have been identified and their occurrence frequencies in membrane proteins can be used to predict the types of the membrane proteins. Consequently, an accuracy of 86.5% in the cross-validation test, and 99.8% in the resubstitution test has been achieved for a non-redundant dataset, which includes type-I, type-II, multipass transmembrane proteins, lipid chain-anchored and GPI-anchored membrane proteins. The fingerprint features of the identified peptides in each membrane protein type are also discussed.

Amino Acid Sequence↗

PubMed2006

Mimotopes of apical membrane antigen 1: Structures of phage-derived peptides recognized by the inhibitory monoclonal antibody 4G2dc1 and design of a more active analogue.

Apical membrane antigen 1 (AMA1) of the malaria parasite Plasmodium falciparum is an integral membrane protein that plays a key role in merozoite invasion of host erythrocytes. A monoclonal antibody, 4G2dc1, recognizes correctly folded AMA1 and blocks merozoite invasion. Phage display was used to identify peptides that bind to 4G2dc1 and mimic an important epitope of AMA1. Three of the highest-affinity binders--J1, J3, and J7--were chosen for antigenicity and immunogenicity studies. J1 and J7 were found to be true antigen mimics since both peptides generated inhibitory antibodies in rabbits (J. L. Casey et al., Infect. Immun. 72:1126-1134, 2004). In the present study, the solution structures of all three mimotopes were investigated by nuclear magnetic resonance spectroscopy. J1 adopted a well-defined region of structure, which can be attributed in part to the interactions of Trp11 with surrounding residues. In contrast, J3 and J7 did not adopt an ordered conformation over the majority of residues, although they share a region of local structure across their consensus sequence. Since J1 was the most structured of the peptides, it provided a template for the design of a constrained analogue, J1cc, which shares a structure similar to that of J1 and has a disulfide-stabilized conformation around the Trp11 region. J1cc binds with greater affinity to 4G2dc1 than does J1. These peptide structures provide the foundation for a better understanding of the complex conformational nature of inhibitory epitopes on AMA1. With its greater conformational stability and higher affinity for AMA1, J1cc may be a better in vitro correlate of immunity than the peptides identified by phage display.

Amino Acid Sequence↗

PubMed2006

Abundance of intrinsically unstructured proteins in P. falciparum and other apicomplexan parasite proteomes.

Preliminary sequence analysis of Plasmodium falciparum has shown that the proteome of this organism is enriched in intrinsically unstructured proteins (IUPs), which are either completely disordered or contain large disordered regions. IUPs have been characterized as a unique class of proteins that plays an important role in biology and disease. In this study, the IUP contents in the proteomes of apicomplexan parasites, especially the proteome of P. falciparum and its various life cycle stages, have been evaluated with DisEMBL-1.4. Compared with other proteomes, apicomplexan species are extremely abundant in proteins containing long disordered regions, and the IUP contents in mammalian Plasmodium species are higher than in most other apicomplexan parasites. The proteome of the P. falciparum sporozoite appears to be distinct from the other life cycle stages in having an even higher content of disordered proteins. The abundance of IUPs in the P. falciparum proteome correlates with its enrichment in repetitive sequences. The structural plasticity of IUPs, which allows promiscuous binding interactions, may favour parasite survival both by inhibiting the generation of effective high affinity antibody responses and by facilitating the interactions with host molecules necessary for attachment and invasion of host cells.

Animals↗

PubMed2005

Structure and inter-domain interactions of domain II from the blood-stage malarial protein, apical membrane antigen 1.

The malarial surface antigen apical membrane antigen (AMA1), from Plasmodium falciparum, is a leading candidate for inclusion in a vaccine against malaria. AMA1 is synthesised by mature blood-stages of the parasite and is located initially in the apical organelles of the merozoite. Prior to merozoite invasion of host erythrocytes, it is processed into a 66 kDa type 1 integral membrane protein on the merozoite surface. The pattern of disulphide bonds in AMA1 has been the basis for separation of the ectodomain into three domains, with three, two and three disulphide bonds, respectively. We have determined the solution structure of a 16kDa construct corresponding to the putative second domain of AMA1. While circular dichroism and hydrodynamic data were consistent with a folded structure for domain II, its NMR spectra were characterised by broad lines and significant peak overlap, more typical of a molten globule. Consistent with this, domain II bound the fluorescent dye 8-anilino-1-naphthalene sulphonate (ANS). We have nonetheless determined a structure, which defines the secondary structure elements and global fold. The two disulphide bonds link the N and C-terminal regions of the molecule, which come together to form a four-stranded beta-sheet linked to a short helix. A long loop linking the N and C-terminal regions contains four other alpha-helices, the locations of which are not fixed relative to the beta-sheet core, even though they are well-defined locally. Very recently this region of domain II has been shown to contain the epitope recognised by the invasion-inhibitory antibody 4G2, even though it does not contain any of the polymorphisms that are regarded as having arisen in response to the pressure of immune recognition.

Amino Acid Sequence↗

PubMed2002

A graphic representation of protein sequence and predicting the subcellular locations of prokaryotic proteins.

Zp curve, a three-dimensional space curve representation of protein primary sequence based on the hydrophobicity and charged properties of amino acid residues along the primary sequence is suggested. Relying on the Zp parameters extracted from the three components of the Zp curve and the Bayes discriminant algorithm, the subcellular locations of prokaryotic proteins were predicted. Consequently, an accuracy of 81.5% in the cross-validation test has been achieved using 13 parameters extracted from the curve for the database of 997 prokaryotic proteins. The result is slightly better than that of using the neural network method (80.9%) based on the amino acid composition for the same database. By jointing the amino acid composition and the Zp parameters, the overall predictive accuracy 89.6% can be achieved. It is about 3% higher than that of the Bayes discriminant algorithm based merely on the amino acid composition for the same database. The prediction is also performed with a larger dataset derived from the version 39 SWISS-PROT databank and two datasets with different sequence similarity. Even for the dataset of non-sequence similarity, the improvement can be of 4.4% in the cross-validation test. The results indicate that the Zp parameters are effective in representing the information within a protein primary sequence. The method of extracting information from the primary structure may be useful for other areas of protein studies.

Algorithms↗

PubMed2002

Predicting membrane protein types using residue-pair models based on reduced similarity dataset.

An algorithm to predict the membrane protein types based on the multi-residue-pair effect in the Markov model is proposed. For a newly constructed dataset of 835 membrane proteins with very low sequence similarity, the overall prediction accuracy has been achieved as high as 81.1% and 71.7% in the resubstitution and jackknife test, respectively, for a prediction of type I single-pass, type II single-pass, multi-pass membrane proteins, lipid chain-anchored and GPI-anchored membrane proteins. The improvement of about 11% in the jackknife test can be achieved compared with the component-coupled algorithm merely based on the amino acid composition (AAC approach). The improvement is also confirmed on a high similarity dataset and the other extrapolating test. The result implies that designing more incisive analysis tools, one should develop algorithms based on the representative dataset with lower sequence similarity. The present algorithm is useful to expedite the determination of the types and functions of new membrane proteins and may be useful for the systematic analysis of functional genome data in a large scale. The computer program is available on request.

Algorithms↗

PubMed2002

An overview on predicting the subcellular location of a protein.

The present paper overviews the issue on predicting the subcellular location of a protein. Five measures of extracting information from the global sequence based on the Bayes discriminant algorithm are reviewed. 1) The auto-correlation functions of amino acid indices along the sequence; 2) The quasi-sequence-order approach; 3) the pseudo-amino acid composition; 4) the unified attribute vector in Hilbert space, 5) Zp parameters extracted from the Zp curve. The actual performance of the predictive accuracy is closely related to the degree of similarity between the training and testing sets or to the average degree of pairwise similarity in dataset in a cross-validated study. Many scholars considered that the current higher predictive accuracy still cannot ensure that some available algorithms are effective in practice prediction for the higher pairwise sequence identity of the datasets, but some of them declared that construction of the dataset used for developing software should base on the reality determined by the Mother Nature that some subcellular locations really contain only a minor number of proteins of which some even have a high percentage of sequence similarity. Owing to the complexity of the problem itself, some very sophisticated and special programs are needed for both constructing dataset and improving the prediction. Anyhow finding the target information in mature protein sequence and properly cooperating it with sorting signals in prediction may further improve the overall predictive accuracy and make the prediction into practice.

Algorithms↗