Fluorescent sensors are an essential part of the experimental toolbox of the life sciences, where they are used ubiquitously to visualize intra- and extracellular signaling. In the brain, optical neurotransmitter sensors can shed light on temporal and spatial aspects of signal transmission by directly observing, for instance, neurotransmitter release and spread. Here we report the development and application of the first optical sensor for the amino acid glycine, which is both an inhibitory neurotransmitter and a co-agonist of the N-methyl-D-aspartate receptors (NMDARs) involved in synaptic plasticity. Computational design of a glycine-specific binding protein allowed us to produce the optical glycine FRET sensor (GlyFS), which can be used with single and two-photon excitation fluorescence microscopy. We took advantage of this newly developed sensor to test predictions about the uneven spatial distribution of glycine in extracellular space and to demonstrate that extracellular glycine levels are controlled by plasticity-inducing stimuli.
The repeat region of the Plasmodium falciparum circumsporozoite protein (CSP) is a major vaccine antigen because it can be targeted by parasite neutralizing antibodies; however, little is known about this interaction. We used isothermal titration calorimetry, X-ray crystallography and mutagenesis-validated modeling to analyze the binding of a murine neutralizing antibody to Plasmodium falciparum CSP. Strikingly, we found that the repeat region of CSP is bound by multiple antibodies. This repeating pattern allows multiple weak interactions of single FAB domains to accumulate and yield a complex with a dissociation constant in the low nM range. Because the CSP protein can potentially cross-link multiple B cell receptors (BCRs) we hypothesized that the B cell response might be T cell independent. However, while there was a modest response in mice deficient in T cell help, the bulk of the response was T cell dependent. By sequencing the BCRs of CSP-repeat specific B cells in inbred mice we found that these cells underwent somatic hypermutation and affinity maturation indicative of a T-dependent response. Last, we found that the BCR repertoire of responding B cells was limited suggesting that the structural simplicity of the repeat may limit the breadth of the immune response.
The development of accurate transferable force fields
is key to
realizing the full potential of atomistic modeling in the study of
biological processes such as protein–ligand binding for drug
discovery. State-of-the-art transferable force fields, such as those
produced by the Open Force Field Initiative, use modern software engineering
and automation techniques to yield accuracy improvements. However,
force field torsion parameters, which must account for many stereoelectronic
and steric effects, are considered to be less transferable than other
force field parameters and are therefore often targets for bespoke
parametrization. Here, we present the Open Force Field QCSubmit and
BespokeFit software packages that, when combined, facilitate the fitting
of torsion parameters to quantum mechanical reference data at scale.
We demonstrate the use of QCSubmit for simplifying the process of
creating and archiving large numbers of quantum chemical calculations,
by generating a dataset of 671 torsion scans for druglike fragments.
We use BespokeFit to derive individual torsion parameters for each
of these molecules, thereby reducing the root-mean-square error in
the potential energy surface from 1.1 kcal/mol, using the original
transferable force field, to 0.4 kcal/mol using the bespoke version.
Furthermore, we employ the bespoke force fields to compute the relative
binding free energies of a congeneric series of inhibitors of the
TYK2 protein, and demonstrate further improvements in accuracy, compared
to the base force field (MUE reduced from 0.560.39
0.77 to 0.420.28
0.59 kcal/mol and R
2 correlation improved from 0.720.35
0.87 to 0.930.84
0.97).
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