Biomedical subjects

C T Zhang

Publications and source records attributed to C T Zhang.

At least 55 records · Page 3Linked to original sources

PubMed1994

A graphic approach to analyzing codon usage in 1562 Escherichia coli protein coding sequences.

The occurrence frequencies of the four bases (adenine, cytosine, guanine and thymine) at each of the three codon positions for 1562 Escherichia coli protein coding sequences have been calculated. The 1562 x 4 x 3 = 18,744 data thus obtained have been analyzed by a graphic method in which the four base occurrence frequencies at each codon position for each coding sequence are represented by a point in a three-dimensional space. Thus, the 18,744 data, which would otherwise occupy several printed pages, can be intuitively displayed by a graphy. The point distribution pattern for each of the three codon positions has been analyzed. The results of our analysis indicate that the patterns for the first two codon positions reflect the origin for producing native folding structures of proteins. We thus come to the conclusion that the distribution patterns for the first two codon positions should be basically species-independent, as confirmed by studies for a number of other species. However, the distribution pattern for the third codon position is species-dependent. Based on the point distribution of the third codon position, six collective parameters have been defined to describe the overall feature of the pattern concerned. These collective parameters can be generally used to classify different species, and hence would be a useful vehicle for studies in taxonomy. In addition to E. coli, the collective parameters for a number of other species have been calculated and analyzed.

Animals↗

PubMed1994

Analysis on the distribution of bases in 1487 human protein coding sequences.

The occurrence frequencies of bases A, C, G and T, denoted by a, c, g and t, respectively, in 1487 human protein coding sequences have been calculated and analyzed. The analysis has been performed by a diagrammatic method presented recently, in which each coding sequence is represented by a point in 3-D space. The distribution of points gives the observer an overall and intuitive picture of the base frequencies. The distance between a point and the origin of the co-ordinate, which corresponds to the case of a = c = g = t = 1/4, is called the radical distance. The radical distribution of 1487 points in 3-D space has been found to be normal, with the center basically coinciding with the origin of the co-ordinate. We have found that among 1487 coding sequences, an empirical rule a2 + c2 + g2 + t2 < 1/3 holds for 1486 sequences. The only sequence in which the above rule does not hold is the one coding for the human parathymosin protein. The composition of amino acids and the structural class of this protein has been studied in some detail.

Base Sequence↗

PubMed1994

Solitary wave dynamics as a mechanism for explaining the internal motion during microtubule growth.

Microtubules, which play many diverse and important roles in biological systems, are usually made up of 13 nearly axial protofilaments formed from individual tubulin molecules. In this paper, a nonlinear dynamic model has been developed to elucidate the mechanism of the internal motion occurring during the assembly of microtubules. The results derived from the model indicate that such internal motion is associated with a solitary wave, or kink, excited by the energy released from the hydrolysis of GTP-->GDP in microtubular solutions. As the kink moves forward, the individual tubulin molecules involved in the kink undergo motions that can be likened to the dislocation of atoms within the crystal lattice. Thus, the dynamic instability of microtubules may be characterized by a series of dislocation motions of the tubulin molecules. An energy estimate shows that a kink in the system possesses about 0.36-0.44 eV, which is quite close to but smaller than the 0.49 eV of energy released from the hydrolysis of GTP. Therefore, the relevant energy derived from our model is fully consistent with experimental observations; this finding also suggests that the hydrolysis energy may be responsible for exciting the solitary wave, or kink, leading to tubulin dislocation in microtubules. Our model, and its intrinsic properties, i.e., dynamic nonlinearity, thermodynamic irreversibility, as well as an energy input from a sustained source, implies that the growth of microtubules is a typical dissipative process and that their structure in vivo is typical of dissipative structures.

Energy Metabolism↗

PubMed1994

Z curves, an intutive tool for visualizing and analyzing the DNA sequences.

A novel method mapping the DNA or RNA sequence into a folding curve in three dimensional space, the Z curve, has been proposed based on the symmetry of the regular tetrahedrons. There exists a unique Z curve for a given DNA sequence, on the contrary, the DNA sequence can be uniquely determined by the given Z curve. The properties of the Z curves have been studied in great details. The symmetry, the periodicity, the local motif, and the global feather of the distribution of bases of the DNA sequences are reflected by the rich folding structures of the Z curves. The Z curves may be smoothed by the B-spline functions of different orders. Therefore, the Z curves may have any resolution by choosing the suitable spline functions. The higher the order of the B-spline function chosen, the lower the resolution of the Z curve. So, the Z curves are suitable for visualizing and analyzing the DNA sequences with any length. The study of the Z curves develops further a new area to visualizing and analyzing the DNA sequences by a geometrical approach. The method of the Z curves may be strengthened by using the ripe mathematical tools of geometry on the one hand; and by using the powerful technique of the computer graphics on the other hand.

Algorithms↗

PubMed1994

An alternate-subsite-coupled model for predicting HIV protease cleavage sites in proteins.

A 2-4-6 subsite-coupled model is proposed to predict the cleavability of peptide sequences by HIV protease. For an enzyme with eight extended specificity subsites, such as HIV protease, the coupling effects of the second subsite with the fourth one and the fourth with the sixth subsite are much more important than those of the others. Accordingly, in establishing a model for predicting whether a given peptide can be cleaved by HIV protease, the 2-4-6 subsite-coupled effect must be incorporated. The model leads to an algorithm for predicting protease-susceptible sites from primary structure. The high rate of correct prediction for both HIV-1 and HIV-2 proteases has borne out that this kind of alternation-coupled mechanism does exist along the extended subsites of HIV protease. The principle of the new method can be used for analyzing the specificity of any multisubsite enzyme. In particular, the new method can serve as a supplementary means for finding effective inhibitors of HIV protease, which is one of the targets in designing potential drugs for AIDS therapy.

Algorithms↗

PubMed1994

Protein folding classes: a geometric interpretation of the amino acid composition of globular proteins.

The amino acid composition of globular proteins of known tertiary structures is analyzed for the classification of the folding classes of protein structures and for a description of their relationship which can be useful in the determination of the folding type of a protein. For each of the folding classes, an ellipsoid in the multidimensional space was constructed from the 20-D vectors of amino acid composition of its member proteins according to standard analytical geometry methods. From this representation, an ellipsoid-based scheme is then presented for determining the folding type of a protein on the basis of its elliptically scaled radial distances from ellipsoid centroids (rather than the conventional Euclidean distances) in a definitive and analytical manner. Among the 132 basis set proteins from which the ellipsoid representations were derived, locations of their individual vectors give correct assignment of the folding type for 127 proteins; this success rate of 96%, though better than those in previous studies, is established to be the theoretical upper limit only for the basis set proteins. Moreover, the geometrical description of the relationship between amino acid composition and protein folding types derived from this analytical (rather than statistical) method indicates that amino acid composition alone cannot determine the protein folding type in all cases. The high success rate for the basis set proteins nevertheless suggests that the ellipsoid representation and the elliptically scaled distances can be more successful in determining the folding type of a protein from its amino acid composition than other analytical approaches reported previously.

Amino Acids↗

PubMed1994

[Diabetic myocardiopathy].

Three cases of diabetic myocardiopathy having history of diabetes, angina and left ventricular dysfunction of various degrees and confirmed by coronary angiography and endomyocardial biopsy were reported. Electrocardiography showed significant ST-T changes simulating coronary insufficiency but without definite localization. As to the treatment, nitrate preparations, inotropic agents such as strophanthin K, digoxin etc. were used to relieve the symptoms; insulin was also administered to control the blood glucose level. Diltiazem, a calcium blocker, is also of help in alleviating the symptoms. It is shown in the present study and in the literatures as well that diabetic myocardiopathy is a disease showing intramural microvascular endothelial proliferation and swelling as well as subendothelial accumulation of acid glycogen deposition cells. The transportation of intracellular calcium ions and the cellular metabolism are thus affected, so there are extensive ischemia, focal necrosis and fibrosis in the myocardium with resulting cardiac dysfunction. The authors are, therefore, of the opinion that diabetic myocardiopathy is a specific and separate clinical entity.

Aged↗

PubMed1993

A joint prediction of the folding types of 1490 human proteins from their genetic codons.

The codon usages for 1490 human proteins have been published by Wada et al. (1990). Based on these data, the frequencies of occurrence of 20 amino acids for each of the 1490 proteins have been calculated according to the genetic codes. Proteins are generally classified into five folding types, i.e. the alpha, beta, alpha + beta, alpha/beta and zeta (irregular) types. The folding type of a protein is correlated to its amino acid composition. By means of three methods established by different investigators, the folding type for each of the 1490 human proteins has been predicted. It has been demonstrated that the accuracy of prediction for the 1490 human proteins is at least 80% by examining the predicted results of some structurally known proteins with these methods. There are only six proteins for which there is uncertainty about their folding types as completely inconsistent results were obtained when predicted with the three different methods. For the remaining 1484 human proteins the numbers of alpha, beta, alpha + beta, alpha/beta, and zeta folding type proteins were found to be 128, 235, 169, 933 and 19, respectively, suggesting that the alpha/beta type proteins would predominate in this set of human proteins. The occurrence frequencies of bases in the first, second and third codon position for each folding type of protein have been calculated. It is shown that the folding type of a protein is strongly dependent on the ratio of frequency of base G in the first codon position with that in the second codon position. The biological implication of the results has been discussed.

Amino Acid Sequence↗

PubMed1993

A vector projection approach to predicting HIV protease cleavage sites in proteins.

A vector projection method is proposed to predict the cleavability of oligopeptides by extended-specificity site proteases. For an enzyme with eight specificity subsites the substrate octapeptide can be uniquely expressed as a vector in an 8-dimensional space, whose eight bases correspond to the amino acids at the eight subsites, P4, P3, P2, P1, P1', P2', P3', and P4', respectively. The component of such a characteristic vector on each of the eight bases is defined as the frequency of an amino acid occurring at a given site. These frequencies were derived from a set of octapeptides known to be cleaved by HIV protease. The cleavability of an octapeptide can then be estimated from the projection of its characteristic vector on an idealized, optimally cleavable vector. The high ratio of correct prediction vs. total prediction for the data in both the training and the testing sets indicates that the new method is self-consistent and efficient. It provides a rapid and accurate algorithm for analyzing the specificity of any multi-subsite enzyme for which there is no coupling between subsites. In particular, it is useful for predicting the cleavability of an oligopeptide by either HIV-1 or HIV-2 protease, and hence offers a supplementary means for finding effective inhibitors of HIV protease as potential drugs against AIDS.

Amino Acid Sequence↗

PubMed1993

Studies on the specificity of HIV protease: an application of Markov chain theory.

A sequence-coupled (Markov chain) model is proposed to predict the cleavage sites in proteins by proteases with extended specificity subsites. In addition to the probability of an amino acid occurring at each of these subsites as observed from a training set of oligopeptides known cleavable by HIV protease, the conditional probabilities as reflected by the neighbor-coupled effect along the subsite sequence are also taken into account. These conditional probabilities are derived from an expanded training set consisting of sufficiently large peptide sequences generated by the Monte Carlo sampling process. Very high accuracy was obtained in predicting protein cleavage sites by both HIV-1 and HIV-2 proteases. The new method provides a rapid and accurate means for analyzing the specificity of HIV protease, and hence can be used to help find effective inhibitors of HIV protease as potential drugs against AIDS. The principle of this method can also be used to study the specificity of any multisubsite enzyme.

Acquired Immunodeficiency Syndrome↗

PubMed1993

A new approach to predicting protein folding types.

A new method is proposed for predicting the folding type of a protein according to its amino acid composition based on the following physical picture: (1) a protein is characterized as a vector of 20-dimensional space, in which its 20 components are defined by the compositions of its 20 amino acids; and (2) the similarity of two proteins is proportional to the mutual projection of their characterized vectors, and hence inversely proportional to the size of their correlation angle. Thus, the prediction is performed by calculating the correlation angles of the vector for the predicted protein with a set of standard vectors representing the norms of four protein folding types (i.e., all alpha, all beta, alpha + beta, and alpha/beta). In comparison with the existing methods, the new method has the merits of yielding a higher rate of correct prediction, displaying a more intuitive physical picture, and being convenient in application. For instance, in predicting the 64 proteins in the development set based on which the standard vectors are derived, the average accuracy rate is 83.6%, which is higher than that obtained for the same set of proteins by any of the existing methods. The average accuracy predicted for an independent set of 35 proteins of known X-ray structure is 91.4%, which is significantly higher than any of the reported accuracies so far, implying that the new method is of great value in practical application. All of these have demonstrated that the new method as proposed in this paper is characterized by an improved feature in both self-consistency and extrapolating-effectiveness.

Amino Acids↗

PubMed1993

Graphic analysis of codon usage strategy in 1490 human proteins.

The frequencies of bases A (adenine), C (cytosine), G (guanine), and T (thymine) occurring in codon position i, denoted by ai, ci, gi, and ti, respectively (i = 1,2,3), have been calculated and diagrammatized for the 1490 human proteins in the codon usage table for primate genes compiled recently. Based on the characteristic graphs thus obtained, an overall picture of codon base distribution has been provided, and the relevant biological implication discussed. For the first codon position, it is shown in most cases that G is the most dominant base, and that the relationship g1 > a1 > c1 > t1 generally holds true. For the second codon position, A is generally the most dominant base and G is the one with the least occurrence frequently, with the relationship of a2 > t2 > c2 > g2. As to the third codon position, the values of g3 + c3 vary from 0.27 to 1, roughly keeping the relationship of c3 > g3 > a3 = t3 for the majority of cases. Interestingly, if the average frequencies for bases A, C, G, and T are defined as a = (a1 + a2 + a3)/3, c = (c1 + c2 + c3)/3, g = (g1 + g2 + g3)/3, and t = (t1 + t2 + t3)/3, respectively, we find that a2 + c2 + g2 + t2 < 1/3 is valid almost without exception. Such a characteristic inequality might reflect some inherent rule of codon usage, although its biological implications is unclear.(ABSTRACT TRUNCATED AT 250 WORDS)

Adenine↗

PubMed1992

A weighting method for predicting protein structural class from amino acid composition.

A protein is generally classified into one of the following four structural classes: all alpha, all beta, alpha+beta and alpha/beta. In this paper, based on the weighting to the 20 constituent amino acids, a new method is proposed for predicting the structural class of a protein according to its amino acid composition. The 20 weighting parameters, which reflect the different properties of the 20 constituent amino acids, have been obtained from a training set of proteins through the linear-programming approach. The rate of correct prediction for a training set of proteins by means of the new method was 100%, whereas the highest rate of previous methods was 82.8%. Furthermore, the results showed that the more numerous training proteins, the more effective the new method.

Amino Acids↗

PubMed1992

A correlation-coefficient method to predicting protein-structural classes from amino acid compositions.

A protein is usually classified into one of the following four structural classes: all alpha, all beta, (alpha + beta) and alpha/beta. In this paper, based on the maximum correlation-coefficient principle, a new formulation is proposed for predicting the structural class of a protein according to its amino acid composition. Calculations have been made for a development set of proteins from which the amino acid compositions for the standard structural classes were derived, and an independent set of proteins which are outside the development set. The former can test the self consistency of a method and the latter can test its extrapolating effectiveness. In both cases, the results showed that the new method gave a considerably higher rate of correct prediction than any of the previous methods, implying that a significant improvement has been achieved by implementing the maximum-correlation-coefficient principle in the new method.

Algorithms↗

PubMed1992

An optimization approach to predicting protein structural class from amino acid composition.

Proteins are generally classified into four structural classes: all-alpha proteins, all-beta proteins, alpha + beta proteins, and alpha/beta proteins. In this article, a protein is expressed as a vector of 20-dimensional space, in which its 20 components are defined by the composition of its 20 amino acids. Based on this, a new method, the so-called maximum component coefficient method, is proposed for predicting the structural class of a protein according to its amino acid composition. In comparison with the existing methods, the new method yields a higher general accuracy of prediction. Especially for the all-alpha proteins, the rate of correct prediction obtained by the new method is much higher than that by any of the existing methods. For instance, for the 19 all-alpha proteins investigated previously by P.Y. Chou, the rate of correct prediction by means of his method was 84.2%, but the correct rate when predicted with the new method would be 100%! Furthermore, the new method is characterized by an explicable physical picture. This is reflected by the process in which the vector representing a protein to be predicted is decomposed into four component vectors, each of which corresponds to one of the norms of the four protein structural classes.

Amino Acids↗

PubMed1992

Monte Carlo simulation studies on the prediction of protein folding types from amino acid composition.

In the methodology development for statistical prediction of protein structures, the founders of different methods usually selected different sets of proteins to test their predicted results. Therefore, it is hard to make a fair comparison according to the results they reported. Even if the predictions by different methods are performed for the same set of proteins, there is still such a problem: a method better that the other for one set of proteins would not necessarily remain so when applied to another set of proteins. To tackle this problem, a Monte Carlo simulation method is proposed to establish an objective criterion to measure the accuracy of prediction for the protein folding type. Such an objective accuracy is actually corresponding to the asymptotical limit genereated during the Monte Carlo simulation process. Based on that, it has been found that the average objective accuracy for predicting the all-alpha, all-beta, alpha + beta, and alpha/beta proteins by the least Euclid's distance method (Nakashima, H., K. Nishikawa, and T. Ooi. 1986. J. Biochem. 99:152-162) is 73.0% and that by the least Minkowski's distance method (Chou, P.Y. 1989. Prediction in Protein Structure and the Principles of Protein Conformation. Plenum Press. New York. 549-586) is 70.9%, indicating that the former is better than the latter. However, according to the original reports, the latter claimed a rate of correct prediction with 79.7% but the former with only 70.2%, leading to a completely opposite conclusion. This indicates the necessity of establishing an objective criterion, and a comparison is meaningful only when it is based on the objective criterion. The simulation method and the idea developed here also can be applied to examine any other statistical prediction methods.

Amino Acids↗

PubMed1992

Diagrammatization of codon usage in 339 human immunodeficiency virus proteins and its biological implication.

The occurrence frequencies of bases A (adenine), C (cytosine, G (guanine), and T (thymine) occurring in the 1st, 2nd, and 3rd codon positions in the codon usage table of viral genes for the 339 human immunodeficiency virus (HIV) proteins compiled recently have been calculated and diagrammatized. For comparison, the corresponding diagrammatic representations for the 2681 human proteins from the codon usage table for primate genes are also presented. The analyzed results based on these characteristic diagrams indicate that considerably similar features have been found between HIV and human proteins for the 1st and 2nd codon positions; i.e., they are all occupied predominantly by purine, especially base A. However, a significant difference in the 3rd codon position between HIV and human proteins has been observed; i.e., human proteins are of high C + G content and low A + G content in the 3rd codon position, whereas the case is just the opposite for HIV proteins. The biological implication of such a duality on the codon bias of HIV against human proteins is discussed. It is suggested that the 1st and 2nd codon positions can be termed as the structure-determining position, and the 3rd codon position termed as the species-determining position. The diagrammatic representation and analysis method described here possess a great potential for the study of molecular evolution from the viewpoint of the genetic code for which data have been accumulated rapidly and will continue to grow at a much faster pace.

Base Composition↗

PubMed1991

Analysis of distribution of bases in the coding sequences by a diagrammatic technique.

The frequencies of occurrence of four bases in the first, second and third codon positions and in the total coding sequences have been calculated by the codon usage table published in 1990 by Ikemura et al. The distribution of frequencies are further analysed in detail by a graphic technique presented recently by us. Formulas expressing the frequencies of four bases in the first and second codon positions in terms of frequencies of amino acids have been given. It is shown by the graphic analysis that for 90 species, in the first codon position the purine bases are dominant and in most cases G is the most dominant base. In the second codon position A is the most dominant base, while G is the least dominant base. In the third codon position the G + C content varies from 0.1 to 0.9, keeping the A + C content equal to 1/2 and G content equal to that of C, approximately. If the frequencies for bases A, C, G and U in the total coding sequences are denoted by a, c, g and u, respectively, it is found that the unequal formula: a2 + c2 + g2 + u2 less than 1/3, is valid for each of the 90 species including the human and E.coli etc.

Base Sequence↗