Proteases are enzymes that catalyse the breaking of specific peptide bonds in proteins and polypeptides. They are heavily involved in many normal biological processes as well as in diseases, including cancer, stroke and infection. In fact, proteolytic activity is sometimes used as a marker for some cancer types. Here we present luminescent quantum dot (QD) bioconjugates designed to detect proteolytic activity by fluorescence resonance energy transfer. To achieve this, we developed a modular peptide structure which allowed us to attach dye-labelled substrates for the proteases caspase-1, thrombin, collagenase and chymotrypsin to the QD surface. The fluorescence resonance energy transfer efficiency within these nanoassemblies is easily controlled, and proteolytic assays were carried out under both excess enzyme and excess substrate conditions. These assays provide quantitative data including enzymatic velocity, Michaelis-Menten kinetic parameters, and mechanisms of enzymatic inhibition. We also screened a number of inhibitory compounds against the QD-thrombin conjugate. This technology is not limited to sensing proteases, but may be amenable to monitoring other enzymatic modifications.

The fundamental chemistry underpinning aerobic life on Earth involves reduction of dioxygen to water with concomitant proton translocation. This process is catalyzed by members of the heme-copper oxidase (HCO) superfamily. Despite the availability of crystal structures for all types of HCO, the mode of action for this enzyme is not understood at the atomic level, namely how vectorial H+ and e- transport are coupled. Toward addressing this problem, we report wild type and A120F mutant structures of the ba3-type cytochrome c oxidase from Thermus thermophilus at 1.8 Å resolution. The enzyme has been crystallized from the lipidic cubic phase, which mimics the biological membrane environment. The structures reveal 20 ordered lipid molecules that occupy binding sites on the protein surface or mediate crystal packing interfaces. The interior of the protein encloses 53 water molecules, including 3 trapped in the designated K-path of proton transfer and 8 in a cluster seen also in A-type enzymes that likely functions in egress of product water and proton translocation. The hydrophobic O2-uptake channel, connecting the active site to the lipid bilayer, contains a single water molecule nearest the CuB atom but otherwise exhibits no residual electron density. The active site contains strong electron density for a pair of bonded atoms bridging the heme Fea3 and CuB atoms that is best modeled as peroxide. The structure of ba3-oxidase reveals new information about the positioning of the enzyme within the membrane and the nature of its interactions with lipid molecules. The atomic resolution details provide insight into the mechanisms of electron transfer, oxygen diffusion into the active site, reduction of oxygen to water, and pumping of protons across the membrane. The development of a robust system for production of ba3-oxidase crystals diffracting to high resolution, together with an established expression system for generating mutants, opens the door for systematic structure-function studies.

Luminescent quantum dots (QDs), with their large absorption cross sections, superior photo-and chemical stability, broad excitation spectra, and narrow emission bandwidths, are excellent alternatives to traditional organic dyes for fluorescence labeling and emerging nanosensing applications. [1][2][3][4][5][6][7][8][9][10] Using various surface-functionalization techniques (including cap exchange and encapsulation methods), QDs can be dispersed in aqueous media. [3][4][5]10] This has naturally led to their use in biological applications, most notably in cellular labeling, [3,4,6,7,10] and in the development of sensitive assays that can detect small molecules and oligonucleotides in solution. [8,9] More recently, we and other groups have shown thatQDs are unique donor fluorophores for fluorescence resonance energy transfer (FRET) where multiple acceptor dyes can be positioned around the QD to substantially enhance the overall rate of FRET between the QD and proximal dyes. [11][12][13][14][15][16][17][18] Because of its exquisite sensitivity to changes in donor-acceptor separation distance (with sixth power dependence), FRET has proven to be a powerful method for detecting molecular-scale interactions, such as binding events and changes in protein conformations. FRET-based QD-biomolecule sensing assemblies that are specific for the detection of target molecules including soluble 2,4,6-trinitrotoluene (TNT), DNA, and the activity of various proteolytic enzymes have been demonstrated. [14,[19][20][21] Multiphoton fluorescence microscopy is the preferred highresolution imaging method for thick (ca. 1 mm) tissue samples owing to its intrinsic optical sectioning ability and limited out-of-focus photodamage. It also uses far red and near IR excitation (700-1100 nm), which is ideally located in the tissue optical transparency window.[22] However, FRET performance driven by two-photon excitation has been limited by the photophysical properties of organic dyes and fluorescent proteins. In particular, it is often difficult to devise a donoracceptor pair with substantial spectral overlap for high FRET efficiency and nonoverlapping two-photon absorption spectra for limited acceptor direct excitation. A recent report by Larson et al. showed that water-soluble CdSe-ZnS QDs are superior probes for multiphoton fluorescence imaging where typical QD two-photon action cross sections are about one to two orders of magnitude larger than those of organic molecules designed specifically for such applications. [23] In this report, we demonstrate efficient resonance energy transfer between luminescent QDs and proximal dye acceptors driven by a two-photon process using sub-band excitation energy (far red and near IR photoexcitation). The FRET process between QDs and proximal dyes using this format has two unique features: 1) it exploits the very high two-photon action cross sections of QDs compared to those of conventional dyes, which results in a near-zero background contribution from the dye acceptors due to direct excitation, independent...

Chemoselective ligation techniques enable the selective modification of proteins and other biomolecules in dilute aqueous solution. Importantly, these reactions occur at or near physiological pH and are compatible with the complex array of functional groups commonly found in biological macromolecules including proteins, nucleotides, and carbohydrates, allowing conjugation reactions to be carried out on unprotected substrates. Recently, a growing number of reactions with established utility in synthetic organic chemistry have been shown to have surprising utility in the context of biological molecules in aqueous media. In this review we highlight several promising reactions that may have widespread applicability in the generation of new materials based on biological macromolecules.

Molecular docking is a powerful tool used in drug discovery and structural biology for predicting the structures of ligand–receptor complexes. However, the accuracy of docking calculations can be limited by factors such as the neglect of protein reorganization in the scoring function; as a result, ligand screening can produce a high rate of false positive hits. Although absolute binding free energy methods still have difficulty in accurately rank-ordering binders, we believe that they can be fruitfully employed to distinguish binders from nonbinders and reduce the false positive rate. Here we study a set of ligands that dock favorably to a newly discovered, potentially allosteric site on the flap of HIV-1 protease. Fragment binding to this site stabilizes a closed form of protease, which could be exploited for the design of allosteric inhibitors. Twenty-three top-ranked protein–ligand complexes from AutoDock were subject to the free energy screening using two methods, the recently developed binding energy analysis method (BEDAM) and the standard double decoupling method (DDM). Free energy calculations correctly identified most of the false positives (≥83%) and recovered all the confirmed binders. The results show a gap averaging ≥3.7 kcal/mol, separating the binders and the false positives. We present a formula that decomposes the binding free energy into contributions from the receptor conformational macrostates, which provides insights into the roles of different binding modes. Our binding free energy component analysis further suggests that improving the treatment for the desolvation penalty associated with the unfulfilled polar groups could reduce the rate of false positive hits in docking. The current study demonstrates that the combination of docking with free energy methods can be very useful for more accurate ligand screening against valuable drug targets.

The fragment indole-6-carboxylic acid (1F1), previously identified as a flap site binder in a fragment-based screen against HIV protease (PR), has been co-crystallized with pepstatin-inhibited PR and with apo-PR. Another fragment, 3-indolepropionic acid (1F1-N), predicted by AutoDock calculations and confirmed in a novel ‘inhibition of nucleation’ crystallization assay, exploits the same interactions in the flap site in two crystal structures. Both 1F1 and 1F1-N bind to the closed form of apo-PR and to pepstatin:PR. In solution, 1F1 and 1F1-N raise the Tm of apo-PR by 3.5–5 °C as assayed by differential scanning fluorimetry (DSF), and show equivalent low-micromolar binding constants to both apo-PR and pepstatin:PR, assayed by backscattering interferometry (BSI). The observed signal intensities in BSI are greater for each fragment upon binding to apo-PR than to pepstatin-bound PR, consistent with greater conformational change in the former binding event. Together, these data indicate that fragment binding in the flap site favors a closed conformation of HIV PR.

A library of 68 brominated fragments was screened against a new crystal form of inhibited HIV-1 protease in order to probe surface sites in soaking experiments. Often fragments are weak binders with partial occupancy, resulting in weak, difficult-to-fit electron density. The use of a brominated fragment library addresses this challenge, as bromine can be located unequivocally via anomalous scattering. Data collection was carried out in an automated fashion using AutoDrug at SSRL. Novel hits were identified in the known surface sites: 3-bromo-2,6-dimethoxybenzoic acid (Br6) in the flap site, and 1-bromo-2-naphthoic acid (Br27) in the exosite, expanding the chemistry of known fragments for development of higher affinity potential allosteric inhibitors. At the same time, mapping the binding sites of a number of weaker binding Br-fragments provides further insight into the nature of these surface pockets.

AutoDrug is software based upon the scientific workflow paradigm that integrates the Stanford Synchrotron Radiation Lightsource macromolecular crystallography beamlines and third-party processing software to automate the crystallography steps of the fragment-based drug-discovery process. AutoDrug screens a cassette of fragment-soaked crystals, selects crystals for data collection based on screening results and user-specified criteria and determines optimal datacollection strategies. It then collects and processes diffraction data, performs molecular replacement using provided models and detects electron density that is likely to arise from bound fragments. All processes are fully automated, i.e. are performed without user interaction or supervision. Samples can be screened in groups corresponding to particular proteins, crystal forms and/or soaking conditions. A single AutoDrug run is only limited by the capacity of the samplestorage dewar at the beamline: currently 288 samples. AutoDrug was developed in conjunction with RestFlow, a new scientific workflow-automation framework. RestFlow simplifies the design of AutoDrug by managing the flow of data and the organization of results and by orchestrating the execution of computational pipeline steps. It also simplifies the execution and interaction of third-party programs and the beamline-control system. Modeling AutoDrug as a scientific workflow enables multiple variants that meet the requirements of different user groups to be developed and supported. A workflow tailored to mimic the crystallography stages comprising the drug-discovery pipeline of CoCrystal Discovery Inc. has been deployed and successfully demonstrated. This workflow was run once on the same 96 samples that the group had examined manually and the workflow cycled successfully through all of the samples, collected data from the same samples that were selected manually and located the same peaks of unmodeled density in the resulting difference Fourier maps.