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The Z-Z junction: the boundary between two out-of-phase Z-DNA regions.

The boundary between two segments of Z-DNA that differ in the phase of their syn-anti alternation about the glycosidic bond is termed a Z-Z junction. Using chemical probes and two-dimensional gel electrophoresis, we examined a Z-Z junction consisting of the sequence d[(CG)8C(CG)8] inserted into a plasmid and used energy minimization techniques to devise a three-dimensional model that is consistent with the available data. We show that both alternating CG segments undergo the B-Z transition together to form a Z-Z junction. The junction is very compact, displaying a distinctive reactivity signature at the two base pairs at the junction. In particular, the 5' cytosine of the CC dinucleotide at the junction is hyperreactive toward hydroxylamine, and the two guanines of the GG dinucleotide on the complementary strand are less reactive toward diethyl pyrocarbonate than are the surrounding Z-DNA guanines. Statistical mechanical treatment of the 2-D gel data yields a delta G for forming the Z-Z junction equal to 3.5 kcal, significantly less than the cost of a B-Z junction and approximately equal to the cost of a base out of alternation (i.e., a Z-DNA pyrimidine in the syn conformation). The computer-generated model shows little distortion of the Z helix outside of the central two base pairs, and the energy of the structure and the steric accessibility of the reactive groups are consistent with the data.

Base Sequence↗

Finite-element modeling of bones from CT data: sensitivity to geometry and material uncertainties.

The aim of this paper is to analyze how the uncertainties in modelling the geometry and the material properties of a human bone affect the predictions of a finite-element model derived from computed tomography (CT) data. A sensitivity analysis, based on a Monte Carlo method, was performed using three femur models generated from in vivo CT datasets, each subjected to two different loading conditions. The geometry, the density and the mechanical properties of the bone tissue were considered as random input variables. Finite-element results typically used in biomechanics research were considered as statistical output variables, and their sensitivity to the inputs variability assessed. The results showed that it is not possible to define a priori the influence of the errors related to the geometry definition process and to the material assignment process on the finite-element analysis results. The errors in the geometric representation of the bone are always the dominant variables for the stresses, as was expected. However, for all the variables, the results seemed to be dependent on the loading condition and to vary from subject to subject. The most interesting result is, however, that using the proposed method to build a finite-element model of a femur from a CT dataset of the quality typically achievable in the clinical practice, the coefficients of variation of the output variables never exceed the 9%. The presented method is hence robust enough to be used for investigating the mechanical behavior of bones with subject-specific finite-element models derived from CT data taken in vivo.

Computer Simulation↗

Molecular modelling of steroidogenic cytochromes P450 from families CYP11, CYP17, CYP19 and CYP21 based on the CYP102 crystal structure.

The results of homology modelling of mammalian steroidogenic cytochromes P450 (CYP) from families CYP11, CYP17, CYP19 and CYP21 are reported, based on a novel protein sequence alignment with CYP102, a bacterial P450 of known crystal structure. The molecular models generated from the CYP102 crystal structure template are consistent with experimental information from site-directed mutagenesis studies, steroidal substrate specificity and active site inhibitor studies. Interactive docking studies with both substrates and inhibitors of these enzymes indicate key residue interactions with the putative active site regions of each isoform investigated, which point to potential determinants of substrate specificity within these related enzymes.

Amino Acid Sequence↗

Modeling the acute neurotoxicity of styrene.

Styrene is a widely used industrial solvent associated with acute neurotoxicity. To investigate the relationships between exposure, blood concentrations, and the appearance of neurotoxic effects, four healthy males were exposed to styrene concentrations of 5-200 ppm in four different exposure-time profiles. A digit recognition test and P300 event-related evoked potential were used to measure neurologic function. A physiologically based kinetic (PBK) model generated close predictions of measured styrene blood concentrations, in the range of 0.01-12 mg/L, from this and 21 previous studies. Simulated peak brain concentration, durationXaverage exposure, and peak exposure level were predictive of toxicity. Central nervous system effects were expected at a blood concentration near 2.4 mg/L. A standard of 20 ppm was expected to protect styrene-exposed workers from acute central nervous system toxicity under light work conditions.

Adult↗

Impact of rosuvastatin use on costs and outcomes in patients at high risk for cardiovascular disease in US managed care and medicare populations: A data analysis.

BACKGROUND: High blood cholesterol is a major modifiable risk factor for coronary heart disease (CHD) and stroke. OBJECTIVE: The aim of this study was to estimate the economic impact of rosuvastatin calcium use in patients at high risk for CHD and stroke, according to the National Cholesterol Education Program Adult Treatment Panel (ATP) III guidelines. METHODS: An economic simulation model was developed that used a Markov process to project the number of cardiovascular events and associated costs in a high-risk population in various treatment scenarios. According to the ATP III, high-risk patients are those with CHD, atherosclerosis of peripheral and/or cerebral arteries, diabetes, and/or multiple other risk factors conferring a risk of at least 20% within 10 years. Data on population characteristics and costs of cardiovascular disease (CVD) were obtained from claims data sets from employer-funded commercial and Medicare health plans in the United States. Treatment of lipid disorders was translated into CVD risk reduction based on results from the Heart Protection Study. The estimated efficacies of individual lipid-lowering drugs were based on data published in package inserts. The model generated costs at the health plan level of lipid-lowering therapy in high-risk patients and the number and total costs of cardiovascular events. Estimates were compared for scenarios representing the mix of treatments used before and after the introduction of rosuvastatin. Estimates were generated separately for commercial and Medicare health plans. RESULTS: For every 1 million members of a commercial health plan, an estimated 44,457 met ATP III criteria for high-risk status. Use of rosuvastatin in place of other 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors ("statins") by 11 % of these patients over a period of 5 years was estimated to result in 36 fewer cardiovascular events and a net savings of US 4.03 million dollars. A Medicare plan of 1 million members with an estimated 433,268 high-risk patients and 7% rosuvastatin use was estimated to avoid 727 events and save US 34.32 million dollars. CONCLUSIONS: The results of this data analysis suggest that increasing the use of rosuvastatin can result in cardiovascular event reduction and cost savings. Because the impact of lipid-modifying therapy on cardiovascular risk has not been thoroughly documented in controlled clinical studies, our model assumed that incremental lipid changes had effects in proportion to the magnitude of change.

Adult↗

Cloning, expression, and characterization of recombinant nitric oxide synthase-like protein from Bacillus anthracis.

Nitric oxide synthase (NOS) is amongst a family of evolutionarily conserved enzymes, involved in a multi-turnover process that results in NO as a product. The significant role of NO in various pathological and physiological processes has created an interest in this enzyme from several perspectives. This study describes for the first time, cloning and expression of a NOS-like protein, baNOS, from Bacillus anthracis, a pathogenic bacterium responsible for causing anthrax. baNOS was expressed in Escherichia coli as a soluble and catalytically active enzyme. Homology models generated for baNOS indicated that the key structural features that are involved in the substrate and active site interaction have been highly conserved. Further, the behavior of baNOS in terms of heme-substrate interactions and heme-transitions was studied in detail. The optical perturbation spectra of the heme domain demonstrated that the ligands perturb the heme site in a ligand specific manner. baNOS forms a five-coordinate, high-spin complex with l-arginine analogs and a six-coordinate low-spin complex with inhibitor imidazole. Studies indicated that the binding of l-arginine, N(omega)-hydroxy-l-arginine, and imidazole produces various spectroscopic species that closely correspond to the equivalent complexes of mammalian NOS. The values of spectral binding constants further corroborated these results. The overall conservation of the key structural features and the correlation of heme-substrate interactions in baNOS and mammalian NOS, thus, point towards an interesting phenomenon of convergent evolution. Importantly, the NO generated by NOS of mammalian macrophages plays a potent role in antimicrobicidal activity. Because of the existence of high structural and behavioral similarity between mammalian NOS and baNOS, we propose that NO produced by B. anthracis may also have a pivotal pathophysiological role in anthrax infection. Therefore, this first report of characterization of a NOS-like protein from a pathogenic bacterium opens up avenues for further studies in understanding the importance of this protein in pathogenicity.

Amino Acid Sequence↗

Human P2Y1 receptor: molecular modeling and site-directed mutagenesis as tools to identify agonist and antagonist recognition sites.

The molecular basis for recognition by human P2Y1 receptors of the novel, competitive antagonist 2'-deoxy-N6-methyladenosine 3', 5'-bisphosphate (MRS 2179) was probed using site-directed mutagenesis and molecular modeling. The potency of this antagonist was measured in mutant receptors in which key residues in the transmembrane helical domains (TMs) 3, 5, 6, and 7 were replaced by Ala or other amino acids. The capacity of MRS 2179 to block stimulation of phospholipase C promoted by 2-methylthioadenosine 5'-diphosphate (2-MeSADP) was lost in P2Y1 receptors having F226A, K280A, or Q307A mutations, indicating that these residues are critical for the binding of the antagonist molecule. Mutation of the residues His132, Thr222, and Tyr136 had an intermediate effect on the capacity of MRS 2179 to block the P2Y1 receptor. These positions therefore appear to have a modulatory role in recognition of this antagonist. F131A, H277A, T221A, R310K, or S317A mutant receptors exhibited an apparent affinity for MRS 2179 that was similar to that observed with the wild-type receptor. Thus, Phe131, Thr221, His277, and Ser317 are not essential for antagonist recognition. A computer-generated model of the human P2Y1 receptor was built and analyzed to help interpret these results. The model was derived through primary sequence comparison, secondary structure prediction, and three-dimensional homology building, using rhodopsin as a template, and was consistent with data obtained from mutagenesis studies. We have introduced a "cross-docking" procedure to obtain energetically refined 3D structures of the ligand-receptor complexes. Cross-docking simulates the reorganization of the native receptor structure induced by a ligand. A putative nucleotide binding site was localized and used to predict which residues are likely to be in proximity to agonists and antagonists. According to our model TM6 and TM7 are close to the adenine ring, TM3 and TM6 are close to the ribose moiety, and TM3, TM6, and TM7 are near the triphosphate chain.

Adenosine Diphosphate↗

Serum albumin in continuous peritoneal dialysis: absence of universal predictors.

Factors shown to affect serum albumin concentration in continuous peritoneal dialysis (CPD) were compared between two CPD populations residing in Greece (patient n = 108) and the United States (patient n = 194). Compared to the U.S. group, the Greek CPD population had higher serum albumin levels (35.1 +/- 4.6 vs 33.9 +/- 5.0 g/L, p = 0.031), was older (61.2 +/- 12.0 vs 52.7 +/- 16.5 years, p < 0.001), and had a greater number of high or high-average peritoneal solute transport types (69.4% vs 52.1%, p = 0.003). The American CPD population had a higher number of diabetics (53.1% vs 27.8%, p < 0.001), higher total Kt/Vurea (2.06 +/- 0.57 vs 1.93 +/- 0.46 weekly, p = 0.046), and higher total creatinine clearance (76.3 +/- 38.7 vs 63.4 +/- 23.5 L/1.73 m2 weekly, p < 0.001), while normalized protein nitrogen appearance values were comparable (0.95 +/- 0.21 in the Greeks vs 0.94 +/- 0.22 g/(kg x 24 hr) in the Americans, NS). A logistic regression model developed in the United States identified advanced age, diabetes, and high/high-average peritoneal solute transport as the predictors of hypoalbuminemia (serum albumin < 35 g/L). This model generated the following areas with 95% confidence intervals (CI) under the receiver operating characteristic (ROC) curve: in the Greek CPD population, ROC area 0.594 (95% CI 0.486-0.702); in the American CPD population, ROC area 0.850 (95% CI 0.810-0.890). In Greek CPD patients serum albumin appears to be affected by factors other than those identified in North America. This complicates comparisons of serum albumin, and probably morbidity and mortality, between CPD populations residing in different parts of the world.

Creatinine↗

Transcriptional dynamics of the embryonic stem cell switch.

Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the transcription factors OCT4, SOX2, and NANOG. In addition to regulating each other through feedback loops, these genes also regulate downstream target genes involved in the maintenance and differentiation of embryonic stem cells. A search for the OCT4-SOX2-NANOG network motif in other species reveals that it is unique to mammals. With a kinetic modeling approach, we ascribe function to the observed OCT4-SOX2-NANOG network by making plausible assumptions about the interactions between the transcription factors at the gene promoter binding sites and RNA polymerase (RNAP), at each of the three genes as well as at the target genes. We identify a bistable switch in the network, which arises due to several positive feedback loops, and is switched on/off by input environmental signals. The switch stabilizes the expression levels of the three genes, and through their regulatory roles on the downstream target genes, leads to a binary decision: when OCT4, SOX2, and NANOG are expressed and the switch is on, the self-renewal genes are on and the differentiation genes are off. The opposite holds when the switch is off. The model is extremely robust to parameter changes. In addition to providing a self-consistent picture of the transcriptional circuit, the model generates several predictions. Increasing the binding strength of NANOG to OCT4 and SOX2, or increasing its basal transcriptional rate, leads to an irreversible bistable switch: the switch remains on even when the activating signal is removed. Hence, the stem cell can be manipulated to be self-renewing without the requirement of input signals. We also suggest tests that could discriminate between a variety of feedforward regulation architectures of the target genes by OCT4, SOX2, and NANOG.

Animals↗

Non-invasive estimation of myocardial infarction by means of a heart-model-based imaging approach: a simulation study.

In the study, a new myocardial infarction (MI) estimation method was developed for estimating MI in the three-dimensional myocardium by means of a heart-model-based inverse approach. The site and size of MI are estimated from body surface electrocardiograms by minimising multiple objective functions of the measured body surface potential maps (BSPMs) and the heart-model-generated BSPMs. Computer simulations were conducted to evaluate the performance of the developed method, using a single-site MI and dual-site MI protocols. The simulation results show that, for the single-site MI, the averaged spatial distance (SD) between the weighting centres of the 'true' and estimated MIs, and the averaged relative error (RE) between the numbers of the 'true' and estimated infarcted units are 3.0 +/- 0.6/3.6 +/- 0.6 mm and 0.11 +/- 0.02/0.14 +/- 0.02, respectively, when 5 microV/10 microV Gaussian white noise was added to the body surface potentials. For the dual-site MI, the averaged SD between the weighting centres of the 'true' and estimated MIs, and the averaged RE between the numbers of the 'true' and estimated infarcted units are 3.8 +/- 0.7/3.9 +/- 0.7mm and 0.12 +/- 0.02/0.14 +/- 0.03, respectively, when 5 microV/10 microV Gaussian white noise was added to the body surface potentials. The simulation results suggest the feasibility of applying the heart-model-based imaging approach to the estimation of myocardial infarction from body surface potentials.

Body Surface Potential Mapping↗

Molecular model of a lattice of signalling proteins involved in bacterial chemotaxis.

Coliform bacteria detect chemical attractants by means of a membrane-associated cluster of receptors and signalling molecules. We have used recently determined molecular structures, in conjunction with plastic models generated by three-dimensional printer technology, to predict how the proteins of the complex are arranged in relation to the plasma membrane. The proposed structure is a regular two-dimensional lattice in which the cytoplasmic ends of chemotactic-receptor dimers are inserted into a hexagonal array of CheA and CheW molecules. This structure creates separate compartments for adaptation and downstream signalling, and indicates a possible basis for the spread of activity within the cluster.

Bacterial Proteins↗

Application of serial sectioning and three-dimensional reconstruction to the study of taste bud ultrastructure and organization.

The lingual taste buds of mammals are complex organs containing dozens of cells of varying morphology and numerous nerve fibers that are intermingled among the cellular processes. Some of the taste bud cells form synaptic contacts with these nerve fibers. Important questions remain to be answered regarding the structure and function of the cells of various types within taste buds and the means by which responses to gustatory stimuli are transmitted to the nerve fibers that communicate with the brain. Using both conventional and high voltage electron microscopy, we have examined serially sectioned taste buds from the tongues of mice and rabbits in order to address these issues and to obtain more complete information than that available from sampling of sections. The technique of computer-assisted 3-D reconstruction was used to generate models of whole taste buds and individual cellular and neural elements within taste buds from the serial sections. Analysis of serially sectioned taste buds from mice and rabbits has revealed that in both of these species relatively few (30% or less) of the cells within the taste buds form synaptic contacts with nerve fibers. In the foliate taste buds of rabbits, all of the cells that are presynaptic to nerve fibers are of a single morphological type (type III). The cells that are presynaptic to nerve fibers within the taste buds of mice are morphologically diverse. A pattern of synaptic connectivity exists within murine taste buds such that a given nerve fiber receives synaptic input only from taste cells that are ultrastructurally similar. In the taste buds of both mice and rabbits, we have observed both divergence and convergence of synaptic input from the putative taste receptor cells onto nerve fibers, suggesting that at the level of the taste bud there is some integration of the information generated by individual receptor cells. In addition to typical chemical synapses, other cytoplasmic specializations (such as subsurface cisternae and atypical mitochondria) may be involved in interactions between taste bud cells and nerve fibers.

Animals↗

One year followup variables predict disability 5 years after presentation with inflammatory polyarthritis with greater accuracy than at baseline.

OBJECTIVE: To compare the accuracy of simple demographic and clinical variables recorded at baseline with those recorded after one year followup, in predicting self-reported functional disability recorded 5 years after initial assessment in patients with early inflammatory polyarthritis (IP). METHODS: We followed annually for 5 years 528 patients registered by the Norfolk Arthritis Register (a primary care based cohort of patients with early IP) using the Health Assessment Questionnaire (HAQ). Backward stepwise logistic regression was used to determine the clinical and demographic variables, collected at either baseline or first followup, that were associated with disability (HAQ > or = 1.00/> or =1.50) at 5 years. RESULTS: At the 5th anniversary assessment, the prevalence of moderate disability (HAQ > or = 1.00) was 47%. Twenty-nine percent reported more severe disability (HAQ > or = 1.50). Variables recorded at first anniversary assessment were better able to predict patients at risk of developing a poor outcome than baseline variables. Multivariate methods identified age at symptom onset, HAQ score, presence of nodules, and a statistically derived factor describing joint tenderness recorded at first year as important predictors of both moderate disability (HAQ > or =1.00) and a higher level of disability (HAQ > or = 1.50). When tested in an independent validation sample, the accuracy of the models generated from data recorded at the first year was 76% (HAQ > or = 1.00) and 83% (HAQ > or = 1.50). CONCLUSION: It was possible to predict disability at 5 years with high accuracy using simple clinical variables and demographic data collected 4 or 5 years previously. First year HAQ score was the strongest predictor of future disability. HAQ score at 5 years could be predicted more accurately using data collected at first anniversary visit than using data recorded at baseline.

Adult↗

Filtering and selection of structural models: combining docking and NMR.

It is generally accepted that protein structures are more conserved than protein sequences, and 3D structure determination by computer simulations have become an important necessity in the postgenomic area. Despite major successes no robust, fast, and automated ab initio prediction algorithms for deriving accurate folds of single polypeptide chains or structures of intermolecular complexes exist at present. Here we present a methodology that uses selection and filtering of structural models generated by docking of known substructures such as individual proteins or domains through easily obtainable experimental NMR constraints. In particular, residual dipolar couplings and chemical shift mapping are used. Heuristic inclusion of chemical or biochemical knowledge about point-to-point interactions is combined in our selection strategy with the NMR data and commonly used contact potentials. We demonstrate the approach for the determination of protein-protein complexes using the EIN/HPr complex as an example and for establishing the domain-domain orientation in a chimeric protein, the recently determined hybrid human-Escherichia. coli thioredoxin.

Algorithms↗

Location proteomics: a systems approach to subcellular location.

Systems Biology requires comprehensive systematic data on all aspects and levels of biological organization and function. In addition to information on the sequence, structure, activities and binding interactions of all biological macromolecules, the creation of accurate predictive models of cell behaviour will require detailed information on the distribution of those molecules within cells and the ways in which those distributions change over the cell cycle and in response to mutations or external stimuli. Current information on subcellular location in protein databases is limited to unstructured text descriptions or sets of terms assigned by human curators. These entries do not permit basic operations that are common to other biological databases, such as measurement of the degree of similarity between the distributions of two proteins, and they are not able to fully capture the complexity of protein patterns that can be observed. The field of location proteomics seeks to provide automated, objective high-resolution descriptions of protein location patterns within cells. Methods have been developed to group proteins into statistically indistinguishable location patterns using automated analysis of fluorescence microscope images. The resulting clusters, or location families, are analogous to clusters found for other domains, such as protein sequence families. Preliminary work suggests the feasibility of expressing each unique pattern as a generative model that can be incorporated into comprehensive models of cell behaviour.

Animals↗

The effect of the interval between blood pressure determinations on the delay in the detection of changes: a computer simulation.

UNLABELLED: The frequency of automated noninvasive blood pressure (NIBP) measurements during routine anesthesia is a balance between potentially deleterious effects of frequent cycling and a delay in detecting changes caused by a long cycle time. A computer model generated systolic blood pressures that changed to a new, random value after a period of stability. We sampled these data at intervals between 1 and 10 min to simulate NIBP measurements. A separate algorithm, based on Trigg's Tracking Variable, indicated when a change had been detected. For each set of variables, the simulation was repeated 1000 times, and the average time to detect a change was recorded. The mean time to detect a change was 8.0 min with a 1-min cycle, 8.9 min with a 2-min cycle, 10.8 min with a 5-min cycle, and 13.0 min with a 10-min cycle. As the cycle time increased, the delay in detecting changes increased but only by approximately half the increase in the cycle time. The optimum variables for the trend detection algorithm also changed as the NIBP interval increased. Provided that abrupt changes in blood pressure are not anticipated, a 1- or 2-min cycle time for NIBP offers little advantage over a longer period. IMPLICATIONS: We used a computer model to study the effect of increasing noninvasive blood pressure (NIBP) sampling interval on the detection of blood pressure changes. The detection time increased only 50% of the increase in the sampling interval. This information may help optimize NIBP intervals in different circumstances.

Algorithms↗

A new mouse model of type 2 diabetes, produced by N-ethyl-nitrosourea mutagenesis, is the result of a missense mutation in the glucokinase gene.

Here we report the first cloned N-ethyl-nitrosourea (ENU)-derived mouse model of diabetes. GENA348 was identified through free-fed plasma glucose measurement, being more than 2 SDs above the population mean of a cohort of >1,201 male ENU mutant mice. The underlying gene was mapped to the maturity-onset diabetes of the young (MODY2) homology region of mouse chromosome 11 (logarithm of odds 6.0). Positional candidate gene analyses revealed an A to T transversion mutation in exon 9 of the glucokinase gene, resulting in an isoleucine to phenylalanine change at amino acid 366 (I366F). Heterozygous mutants have 67% of the enzyme activity of wild-type littermates (P < 0.0012). Homozygous mutants have less enzyme activity (14% of wild-type activity) and are even less glucose tolerant. The GENA348 allele is novel because no mouse or human diabetes studies have described a mutation in the corresponding amino acid position. It is also the first glucokinase missense mutation reported in mice and is homozygous viable, unlike the global knockout mutations. This work demonstrates that ENU mutagenesis screens can be used to generate models of complex phenotypes, such as type 2 diabetes, that are directly relevant to human disease.

Adenine↗

Molecular characterization and structural modeling of immunoglobulin variable regions from murine monoclonal antibodies specific for hepatitis B virus surface antigen.

We have characterized structurally the V regions of a set of murine monoclonal antibodies designated A1.2, A3.1, and A2.1, which recognize a group-specific epitope associated with hepatitis B virus surface antigen (HBsAg). The selection of these antibodies for this characterization was based on data which indicated that A1.2 and A3.1 recognize an overlapping epitope, while A2.1 recognizes a different group-specific epitope, on the HBsAg molecule. In addition, a conformation-dependent cross reactive Id is expressed on both A1.2 and A3.1, but not on A2.1. We have determined the primary sequence structures of these three monoclonal antibodies to HBsAg (anti-HBs), and have aligned them to evaluate V region sequence homology and identify potential regions of structural homology which provide a basis for the HBsAg epitope recognition and the cross reactive Id. Both A1.2 and A3.1 express VH regions which are highly homologous to the VH NP gene family (V186-2), both use members of the DSP2 D region gene family and utilize the JH 2 and JH 1 J gene segments, respectively. Alternatively, A2.1 is related to the VH J558 gene family and expresses a fusion of the DFL16.1 and DQ52 D gene regions in conjunction with the MH 1 gene segment. Each of these three monoclonal anti-HBs utilize light chains from the V kappa 21 and the J kappa 4 gene families. Primary amino acid sequence data were employed to construct computer generated models of the A1.2, A3.1, and A2.1 V regions to determine potential antigen combining site structures and the basis for the expression of the cross reactive Id. These results are discussed in terms of potential interaction sites with HBsAg and V region sites involved in Id expression.

Amino Acid Sequence↗