Biomedical subjects

Jian-Cheng Lin

Publications and source records attributed to Jian-Cheng Lin.

5 recordsLinked to original sources

PubMed2007

Rule extraction for glaucoma detection with summary data from StratusOCT.

PURPOSE: To extract and induce rules of association for differentiating between normal and glaucomatous eyes based on the quantitative assessment of summary data reports from the StratusOCT (optical coherence tomography; Carl Zeiss Meditec, Inc., Dublin, CA) in a Taiwan Chinese population. METHODS: One randomly selected eye of each of the 64 patients with glaucoma and each of the 71 normal subjects was included in the study. Measurements of glaucoma variables (retinal nerve fiber layer thickness and optic nerve head analysis results) were obtained with the StratusOCT. A self-organizing map and decision tree were applied to extract features and determine rules of association for glaucoma detection. RESULTS: The average visual field mean deviation was -0.55 +/- 0.57 dB in the normal group and -4.30 +/- 3.32 dB in the glaucoma group. Vertical cup-to-disc (C/D) ratio and inferior quadrant thickness were extracted from the decision tree, and three association rules were determined for glaucoma detection. CONCLUSIONS: The precise rules of association induced by a novel application of the decision tree may enhance glaucoma detection.

Adult↗

PubMed2005

Effects of mercuric ion on the conformation and activity of Penaeus Vannamei beta-N-acetyl-d-glucosaminidase.

beta-N-acetyl-d-glucosaminidase (NAGase, EC.3.2.1.52), a composition of the chitinases, catalyzes the cleavage of N-acetylglucosamine polymers into N-acetylglucosamine. In this paper, the effects of mercuric ion on the activity of NAGase from Penaeus vannamei for the hydrolysis of pNP-NAG have been studied. The results show that HgCl2 can lead to irreversible inactivation to this enzyme. The inactivation process follows a first-order reaction and the inactivation rate constants have been determined. The relationship between the inactivation rate constants and HgCl2 concentration has been studied and the result shows that only one molecule of HgCl2 binds to the enzyme molecule to lead the enzyme lose its activity. Moreover, the conformational changes of the enzyme inactivated by HgCl2 were studied by following changes in the intrinsic fluorescence emission and ultraviolet absorption spectra.

Acetylglucosaminidase↗

PubMed2003

The chemical modification of the essential groups of beta-N-acetyl-D-glucosaminidase from Turbo cornutus Solander.

The chemical modification of beta-N-acetyl-D-glucosaminidase (EC3.2.1.30) from Turbo cornutus Solander has been first studied. The results demonstrate that the sulfhydryl group of cysteine residues and the hydroxyl group of serine residues are not essential to the enzyme's function. The modification of indole group of tryptophan of the enzyme by N-bromosuccinimide (NBS) can lead to the complete inactivation, accompanying the absorption decreasing at 278 nm and the fluorescence intensity quenching at 335 nm, indicating that tryptophan is essential residue to the enzyme. The modification of amino group of lysine residue by formaldehyde and trinitrobenzenesulfonic acid also inactivates the enzyme completely. The results show that lysine and tryptophan are probably situated in the active site of the enzyme. The modification of the imidazole residue and carboxyl group leads to inactivate incompletely, indicating they are not the composing groups of the enzyme active center, and they are essential for maintaining the enzyme's conformation which is necessary for the catalytic activity of the enzyme.

Acetylglucosaminidase↗

PubMed2003

Prediction of prokaryotic promoters based on prediction of transcriptional units.

Identification of promoters is very important in understanding gene regulating relationships in an organism, and computational identification of promoters has been a long standing problem in computational biology. A new method was presented to predict promoter regions in prokaryotic organism. The method predicted transcription unit (TU) first and the TU was divided into singlet that contains only one single gene in a TU, and operon that contains more than one gene. Based on these predicted TUs, promoter was predicted for each TU using hidden Markov model including explicit state duration density. Both predicted TUs and promoters were satisfying.

Algorithms↗

PubMed2003

Putative hAPN receptor binding sites in SARS_CoV spike protein.

AIM: To obtain the information of ligand-receptor binding between the S protein of SARS-CoV and CD13, identify the possible interacting domains or motifs related to binding sites, and provide clues for studying the functions of SARS proteins and designing anti-SARS drugs and vaccines. METHODS: On the basis of comparative genomics, the homology search, phylogenetic analyses, and multi-sequence alignment were used to predict CD13 related interacting domains and binding sites in the S protein of SARS-CoV. Molecular modeling and docking simulation methods were employed to address the interaction feature between CD13 and S protein of SARS-CoV in validating the bioinformatics predictions. RESULTS: Possible binding sites in the SARS-CoV S protein to CD13 have been mapped out by using bioinformatics analysis tools. The binding for one protein-protein interaction pair (D757-R761 motif of the SARS-CoV S protein to P585-A653 domain of CD13) has been simulated by molecular modeling and docking simulation methods. CONCLUSION: CD13 may be a possible receptor of the SARS-CoV S protein, which may be associated with the SARS infection. This study also provides a possible strategy for mapping the possible binding receptors of the proteins in a genome.

Amino Acid Sequence↗