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Biomedical subjects

David Baker

Publications and source records attributed to David Baker.

At least 145 records · Page 8Linked to original sources

Temporal course of upregulation of Na(v)1.8 in Purkinje neurons parallels the progression of clinical deficit in experimental allergic encephalomyelitis.

Multiple sclerosis (MS) is recognized to involve demyelination and axonal atrophy but accumulating evidence suggests that dysregulated sodium channel expression may also contribute to its pathophysiology. Recent studies have demonstrated that the expression of Na(v)1.8 voltage-gated sodium channels, which are normally undetectable within the CNS, is upregulated in cerebellar Purkinje cells in experimental allergic encephalomyelitis (EAE) and MS, and suggest that the aberrant expression of these channels contributes to clinical dysfunction by distorting the firing pattern of these neurons. In this study we examined the temporal pattern of upregulation for Na(v)1.8 mRNA and protein in chronic relapsing EAE by in situ hybridization and immunocytochemistry, respectively. Our results demonstrate a positive correlation between disease duration and degree of upregulation of Na(v)1.8 mRNA and protein in Purkinje neurons in chronic-relapsing EAE. The progressive deterioration in clinical baseline scores (i.e. in clinical scores during remissions) is paralleled by a continued increase in Na(v)1.8 mRNA and protein expression, but temporary worsening during relapses is not associated with transient changes in Na(v)1.8 expression. These results provide evidence that the expression of sodium channel Na(v)1.8 contributes to the development of clinical deficits in an in vivo model of neuroinflammatory disease.

Animals↗

Low free energy cost of very long loop insertions in proteins.

Long insertions into a loop of a folded host protein are expected to have destabilizing effects because of the entropic cost associated with loop closure unless the inserted sequence adopts a folded structure with amino- and carboxy-termini in close proximity. A loop entropy reduction screen based on this concept was used in an attempt to retrieve folded sequences from random sequence libraries. A library of long random sequences was inserted into a loop of the SH2 domain, displayed on the surface of M13 phage, and the inserted sequences that did not disrupt SH2 function were retrieved by panning using beads coated with a phosphotyrosine containing SH2 peptide ligand. Two sequences of a library of 2 x 10(8) sequences were isolated after multiple rounds of panning, and were found to have recovery levels similar to the wild-type SH2 domain and to be relatively intolerant to further mutation in PCR mutagenesis experiments. Surprisingly, although these inserted sequences exhibited little nonrandom structure, they do not significantly destabilize the host SH2 domain. Additional insertion variants recovered at lower levels in the panning experiments were also found to have a minimal effect on the stability and peptide-binding function of the SH2 domain. The additional level of selection present in the panning experiments is likely to involve in vivo folding and assembly, as there was a rough correlation between recovery levels in the phage-panning experiments and protein solubility. The finding that loop insertions of 60-80 amino acids have minimal effects on SH2 domain stability suggests that the free energy cost of inserting long loops may be considerably less than polymer theory estimates based on the entropic cost of loop closure, and, hence, that loop insertion may have provided an evolutionary route to multidomain protein structures.

Amino Acid Sequence↗

Structural and kinetic characterization of the simplified SH3 domain FP1.

The simplified SH3 domain sequence, FP1, obtained in phage display selection experiments has an amino acid composition that is 95% Ile, Lys, Glu, Ala, Gly. Here we use NMR to investigate the tertiary structure of FP1. We find that the overall topology of FP1 resembles that of the src SH3 domain, the hydrogen-deuterium exchange and chemical shift perturbation profiles are similar to those of naturally occurring SH3 domains, and the (15)N relaxation rates are in the range of naturally occurring small proteins. Guided by the structure, we further simplify the FP1 sequence and compare the effects on folding kinetics of point mutations in FP1 and the wild-type src SH3 domain. The results suggest that the folding transition state of FP1 is similar to but somewhat less polarized than that of the wild-type src SH3 domain.

Kinetics↗

Contact order revisited: influence of protein size on the folding rate.

Guided by the recent success of empirical model predicting the folding rates of small two-state folding proteins from the relative contact order (CO) of their native structures, by a theoretical model of protein folding that predicts that logarithm of the folding rate decreases with the protein chain length L as L(2/3), and by the finding that the folding rates of multistate folding proteins strongly correlate with their sizes and have very bad correlation with CO, we reexamined the dependence of folding rate on CO and L in attempt to find a structural parameter that determines folding rates for the totality of proteins. We show that the Abs_CO = CO x L, is able to predict rather accurately folding rates for both two-state and multistate folding proteins, as well as short peptides, and that this Abs_CO scales with the protein chain length as L(0.70 +/- 0.07) for the totality of studied single-domain proteins and peptides.

Animals↗

Profile-profile comparisons by COMPASS predict intricate homologies between protein families.

Recently we proposed a novel method of alignment-alignment comparison, COMPASS (the tool for COmparison of Multiple Protein Alignments with Assessment of Statistical Significance). Here we present several examples of the relations between PFAM protein families that were detected by COMPASS and that lead to the predictions of presently unresolved protein structures. We discuss relatively straightforward COMPASS predictions that are new and interesting to us, and that would require a substantial time and effort to justify even for a skilled PSI-BLAST user. All of the presented COMPASS hits are independently confirmed by other methods, including the ab initio structure-prediction method ROSETTA. The tertiary structure predictions made by ROSETTA proved to be useful for improving sequence-derived alignments, because they are based on a reasonable folding of the polypeptide chain rather than on the information from sequence databases. The ability of COMPASS to predict new relations within the PFAM database indicates the high sensitivity of COMPASS searches and substantiates its potential value for the discovery of previously unknown similarities between protein families.

Amino Acid Sequence↗

Glutamate transmission and addiction to cocaine.

A variety of data point to the possibility that neuroadaptations in glutamate transmission are produced by repeated exposure to cocaine that result in the expression of behaviors characteristic of addiction, such as craving and relapse. Using the reinstatement model of relapse in rats, glutamate release in the projection from the prefrontal cortex to the nucleus accumbens has been shown to underlie cocaine- and stress-primed reinstatement. In this report, four adaptations produced by withdrawal from repeated cocaine are described that may regulate the release of glutamate underlying reinstatement of drug-seeking resulted. (1) Neurons in the prefrontal cortex have increased levels of activator of G protein signaling 3 (AGS3) that causes reduced signaling through Gi coupled receptors, and normalization of AGS3 blocked cocaine-primed reinstatement. (2) The activity of the cystine-glutamate exchanger is reduced resulting in decreased extracellular glutamate in the nucleus accumbens, and normalization of exchanger activity prevented cocaine-primed reinstatement. (3) Metobotropic glutamate receptor function is diminished after repeated cocaine administration that results in reduced regulation of glutamate release. (4) Homer1 protein is reduced in the nucleus accumbens, and Homer2 knockout mice show enhanced responsiveness to cocaine. Taken together, there appears to be both pre- and postsynaptic changes in glutamate transmission that dysregulates the glutamatergic projection from the prefrontal cortex to the nucleus accumbens. These adaptations are hypothesized to facilitate glutamate release in response to a cocaine injection or acute stress and lead to the reinstatement of drug-seeking behavior.

Animals↗

The therapeutic potential of cannabis in multiple sclerosis.

There has been renewed interest in the therapeutic applications of cannabis, and people, particularly those with multiple sclerosis, claim that it may offer benefit in symptom control. Cannabis exerts many of its effects because it taps into an endogenous cannabinoid system. Recent advances have begun to shine light on the biology of this system and may support some of the anecdotal medical claims. The problem with cannabis as a drug is that both the positive and negative aspects are largely the work of the same receptor. However, it may be possible to avoid these through modulation of the endogenous system. Cannabinoids provide a novel therapeutic target, not only for controlling symptoms, but also slowing disease progression through inhibition of neurodegeneration, which is the cause of accumulating irreversible disability.

Animals↗

Valacyclovir for prevention of recurrent herpes labialis: 2 double-blind, placebo-controlled studies.

The oral antiviral valacyclovir, which is 3 to 5 times more bioavailable than its parent compound acyclovir, is a good candidate for effective therapy to suppress recurrent herpes labialis lesions. The efficacy of oral valacyclovir in the suppression of herpes labialis has not previously been reported. Two identical, randomized, double-blind, parallel-group studies were conducted to evaluate the efficacy of oral valacyclovir 500 mg (n=49) versus placebo (n=49) once daily for 16 weeks in the suppression of herpes labialis among patients with a history of 4 or more recurrent lesions in the previous year. Data from the studies were pooled for analysis. Twenty-eight patients (60%) in the valacyclovir group compared with only 18 patients (38%) in the placebo group were recurrence-free throughout the 4-month treatment period (P=.041). The mean time to first recurrence was significantly longer with valacyclovir (13.1 weeks) compared with placebo (9.6 weeks) (P=.016). The total number of recurrences in patients using valacyclovir was 24 compared with 41 in patients using placebo. The incidence of adverse events during the 4-month treatment period was slightly lower in the valacyclovir group (22 events, 33% of patients) compared with the placebo group (29 events, 39% of patients). The results of these small double-blind, placebo-controlled studies suggest that oral valacyclovir 500 mg once daily for 4 months is effective and well tolerated for the prevention of recurrent herpes labialis. More research with larger patient numbers is warranted to corroborate and extend these findings.

Acyclovir↗

A simple physical model for binding energy hot spots in protein-protein complexes.

Protein-protein recognition plays a central role in most biological processes. Although the structures of many protein-protein complexes have been solved in molecular detail, general rules describing affinity and selectivity of protein-protein interactions do not accurately account for the extremely diverse nature of the interfaces. We investigate the extent to which a simple physical model can account for the wide range of experimentally measured free energy changes brought about by alanine mutation at protein-protein interfaces. The model successfully predicts the results of alanine scanning experiments on globular proteins (743 mutations) and 19 protein-protein interfaces (233 mutations) with average unsigned errors of 0.81 kcal/mol and 1.06 kcal/mol, respectively. The results test our understanding of the dominant contributions to the free energy of protein-protein interactions, can guide experiments aimed at the design of protein interaction inhibitors, and provide a stepping-stone to important applications such as interface redesign.

Alanine↗

Valacyclovir for herpes simplex virus infection: long-term safety and sustained efficacy after 20 years' experience with acyclovir.

An extensive clinical trial program combined with 5 years' postmarketing experience with valacyclovir provides evidence of favorable safety and efficacy in herpes simplex virus (HSV) management. Valacyclovir enhances acyclovir bioavailability compared with orally administered acyclovir. Long-term use of acyclovir for up to 10 years for HSV suppression is effective and well tolerated. Acyclovir is also approved for use in children, is available in some countries over the counter in cream formulation for herpes labialis, and has been monitored in over 1000 pregnancies. Safety monitoring data from clinical trials of valacyclovir, involving over 3000 immunocompetent and immunocompromised persons receiving long-term therapy for HSV suppression, were analyzed. Safety profiles of valacyclovir (</=1000 mg/day), acyclovir (800 mg/day), and placebo were similar. Extensive sensitivity monitoring of HSV isolates confirmed a very low rate of acyclovir resistance among immunocompetent subjects (<0.5%). The incidence of resistance among immunocompromised patients remains low at about 5%.

Acyclovir↗

Evaluation of structural and evolutionary contributions to deleterious mutation prediction.

Methods for automated prediction of deleterious protein mutations have utilized both structural and evolutionary information but the relative contribution of these two factors remains unclear. To address this, we have used a variety of structural and evolutionary features to create simple deleterious mutation models that have been tested on both experimental mutagenesis and human allele data. We find that the most accurate predictions are obtained using a solvent-accessibility term, the C(beta) density, and a score derived from homologous sequences, SIFT. A classification tree using these two features has a cross-validated prediction error of 20.5% on an experimental mutagenesis test set when the prior probability for deleterious and neutral cases is equal, whereas this prediction error is 28.8% and 22.2% using either the C(beta) density or SIFT alone. The improvement imparted by structure increases when fewer homologs are available: when restricted to three homologs the prediction error improves from 26.9% using SIFT alone to 22.4% using SIFT and the C(beta) density, or 24.8% using SIFT and a noisy C(beta) density term approximating the inaccuracy of ab initio structures modeled by the Rosetta method. We conclude that methods for deleterious mutation prediction should include structural information when fewer than five to ten homologs are available, and that ab initio predicted structures may soon be useful in such cases when high-resolution structures are unavailable.

Bacterial Proteins↗

Simple physical models connect theory and experiment in protein folding kinetics.

Our understanding of the principles underlying the protein-folding problem can be tested by developing and characterizing simple models that make predictions which can be compared to experimental data. Here we extend our earlier model of folding free energy landscapes, in which each residue is considered to be either folded as in the native state or completely disordered, by investigating the role of additional factors representing hydrogen bonding and backbone torsion strain, and by using a hybrid between the master equation approach and the simple transition state theory to evaluate kinetics near the free energy barrier in greater detail. Model calculations of folding phi-values are compared to experimental data for 19 proteins, and for more than half of these, experimental data are reproduced with correlation coefficients between r=0.41 and 0.88; calculations of transition state free energy barriers correlate with rates measured for 37 single domain proteins (r=0.69). The model provides insight into the contribution of alternative-folding pathways, the validity of quasi-equilibrium treatments of the folding landscape, and the magnitude of the Arrhenius prefactor for protein folding. Finally, we discuss the limitations of simple native-state-based models, and as a more general test of such models, provide predictions of folding rates and mechanisms for a comprehensive set of over 400 small protein domains of known structure.

Bacterial Proteins↗

De novo prediction of three-dimensional structures for major protein families.

We use the Rosetta de novo structure prediction method to produce three-dimensional structure models for all Pfam-A sequence families with average length under 150 residues and no link to any protein of known structure. To estimate the reliability of the predictions, the method was calibrated on 131 proteins of known structure. For approximately 60% of the proteins one of the top five models was correctly predicted for 50 or more residues, and for approximately 35%, the correct SCOP superfamily was identified in a structure-based search of the Protein Data Bank using one of the models. This performance is consistent with results from the fourth critical assessment of structure prediction (CASP4). Correct and incorrect predictions could be partially distinguished using a confidence function based on a combination of simulation convergence, protein length and the similarity of a given structure prediction to known protein structures. While the limited accuracy and reliability of the method precludes definitive conclusions, the Pfam models provide the only tertiary structure information available for the 12% of publicly available sequences represented by these large protein families.

Calibration↗

Distributions of beta sheets in proteins with application to structure prediction.

We recently developed the Rosetta algorithm for ab initio protein structure prediction, which generates protein structures from fragment libraries using simulated annealing. The scoring function in this algorithm favors the assembly of strands into sheets. However, it does not discriminate between different sheet motifs. After generating many structures using Rosetta, we found that the folding algorithm predominantly generates very local structures. We surveyed the distribution of beta-sheet motifs with two edge strands (open sheets) in a large set of non-homologous proteins. We investigated how much of that distribution can be accounted for by rules previously published in the literature, and developed a filter and a scoring method that enables us to improve protein structure prediction for beta-sheet proteins. Proteins 2002;48:85-97.

Algorithms↗