Challenges and opportunities of automated protein-protein docking: HDOCK server vs human predictions in CAPRI Rounds 38-46

Protein-protein docking plays an important role in the computational prediction of the complex structure between two proteins. For years, a variety of docking algorithms have been developed, as witnessed by the critical assessment of prediction interactions (CAPRI) experiments. However, despite their successes, many docking algorithms often require a series of manual operations like modeling structures from sequences, incorporating biological information, and selecting final models. The difficulties in these manual steps have significantly limited the applications of protein-protein docking, as most of the users in the community are nonexperts in docking. Therefore, automated docking like a web server, which can give a comparable performance to human docking protocol, is pressingly needed. As such, we have participated in the blind CAPRI experiments for Rounds 38-45 and CASP13-CAPRI challenge for Round 46 with both our HDOCK automated docking web server and human docking protocol. It was shown that our HDOCK server achieved an “acceptable” or higher CAPRI-rated model in the top 10 submitted predictions for 65.5% and 59.1% of the targets in the docking experiments of CAPRI and CASP13-CAPRI, respectively, which are comparable to 66.7% and 54.5% for human docking protocol. Similar trends can also be observed in the scoring experiments. These results validated our HDOCK server as an efficient automated docking protocol for nonexpert users. Challenges and opportunities of automated docking are also discussed.     

Traces matter: Targeted optimization of monoclonal antibody N-glycosylation based on/by implementing automated high-throughput trace element screening

The use of high-throughput systems in cell culture process optimization offers various opportunities in biopharmaceutical process development. Here we describe the potential for acceleration and enhancement of product quality optimization and de novo bioprocess design regarding monoclonal antibody N-glycosylation by using an iterative statistical Design of Experiments (DoE) strategy based on our automated microtiter plate-based system for suspension cell culture. In our example, the combination of an initial screening of trace metal building blocks with a comprehensive DoE-based screening of 13 different trace elemental ions at three concentration levels in one run revealed most effective levers for N-glycan processing and biomass formation. Obtained results served to evaluate optimal concentration ranges and the right supplementation timing of relevant trace elements at shake flask and 2 L bioreactor scale. This setup identified manganese, copper, zinc, and iron as major factors. Manganese and copper acted as inverse key players in N-glycosylation, showing a positive effect of manganese and a negative effect of copper on glycan maturation in a zinc-dependent manner. Zinc and iron similarly improved cell growth and biomass formation. These findings allowed determining optimal concentration ranges for all four trace elements to establish control on desired product quality attributes regarding premature afucosylated and mature galactosylated glycan species. Our results demonstrates the power of combining robotics with DoE screening to enhance product quality optimization and to improve process understanding, thus, enabling targeted product quality control.     

Multichannel automated chamber system for continuous monitoring of CO2 exchange between the agro-ecosystem or soil and the atmosphere

A multichannel automated chamber system was developed for continuous monitoring of CO₂ exchange at multiple points between agro-ecosystem or soil and atmosphere. This system consisted of an automated chamber subsystem with a CO₂ concentration analyzer and a data logging subsystem. Both subsystems were under the control of a programmable logic controller (PLC). The automated chamber subsystem contained 18 chambers (50 cm × 50 cm × 50 cm) and a compressor. The chamber lids were closed and can be automatically opened. During measurement, one of the 18 chambers was kept closed for three minutes for measuring and the other chambers were kept open to maintain the natural soil conditions to the maximum extent. Environmental variables were simultaneously measured using sensors and recorded by the data logger. The reliability of the multichannel automated chamber system was tested and the results showed that the turbulence of the fans had no significant effect on the CO₂ exchange. The changes in the air and the temperature of soil and soil moisture inside the chambers, caused by the enclosure of the chambers, were not significant. The net ecosystem CO₂ exchange for the wheat ecosystem was ?2.35 μmol·m^?2·s^>?1 and the soil respiration was 3.87 μmol·m^?2·s^>?1 in the wheat field, and 6.61 μmol·m^?2·s^>?1 in the apple orchard.     

Automated docking to explore subsite binding by glycoside hydrolase family 6 cellobiohydrolases and endoglucanases

Cellooligosaccharides were computationally docked using AutoDock into the active sites of the glycoside hydrolase Family 6 enzymes Hypocrea jecorina (formerly Trichoderma reesei) cellobiohydrolase and Thermobifida fusca endoglucanase. Subsite -2 exerts the greatest intermolecular energy in binding beta-glucosyl residues, with energies progressively decreasing to either side. Cumulative forces imparting processivity exerted by these two enzymes are significantly less than by the equivalent glycoside hydrolase Family 7 enzymes studied previously. Putative subsites -4, -3, +3, and +4 exist in H. jecorina cellobiohydrolase, along with putative subsites -4, -3, and +3 in T. fusca endoglucanase, but they are less important than subsites -2, -1, +1, and +2. In general, binding adds 3-7 kcal/mol to ligand intramolecular energies because of twisting of scissile glycosidic bonds. Distortion of beta-glucosyl residues to the (2)S(O) conformation by binding in subsite -1 adds approximately 7 kcal/mol to substrate intramolecular energies.     

Computer-aided meiotic maturation assay (CAMMA) of zebrafish (danio rerio) oocytes in vitro

We have developed a new technique called Computer-Aided Meiotic Maturation Assay (CAMMA) for imaging large arrays of zebrafish oocytes and automatically collecting image files at regular intervals during meiotic maturation. This novel method uses a transparency scanner interfaced to a computer with macro programming that automatically scans and archives the image files. Images are stacked and analyzed with ImageJ to quantify changes in optical density characteristic of zebrafish oocyte maturation. Major advantages of CAMMA include (1) ability to image very large arrays of oocytes and follow individual cells over time, (2) simultaneously image many treatment groups, (3) digitized images may be stacked, animated, and analyzed in programs such as ImageJ, NIH-Image, or ScionImage, and (4) CAMMA system is inexpensive, costing less than most microscopes used in traditional assays. We have used CAMMA to determine the dose response and time course of oocyte maturation induced by 17alpha-hydroxyprogesterone (HP). Maximal decrease in optical density occurs around 5 hr after 0.1 micro g/ml HP (28.5 degrees C), approximately 3 hr after germinal vesicle migration (GVM) and dissolution (GVD). In addition to changes in optical density, GVD is accompanied by streaming of ooplasm to the animal pole to form a blastodisc. These dynamic changes are readily visualized by animating image stacks from CAMMA; thus, CAMMA provides a valuable source of time-lapse movies for those studying zebrafish oocyte maturation. The oocyte clearing documented by CAMMA is correlated to changes in size distribution of major yolk proteins upon SDS-PAGE, and, this in turn, is related to increased cyclin B(1) protein.     

Temporally adaptive acoustic sampling to maximize detection across a suite of focal wildlife species

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Automatic counting of birds in a bird deterrence field trial

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Development of DNA Damage Response Signaling Biomarkers using Automated,Quantitative Image Analysis

The DNA damage response (DDR) coordinates DNA repair with cell cycle checkpoints to ameliorate or mitigate the pathological effects of DNA damage. Automated quantitative analysis (AQUA) and Tissue Studio are commercial technologies that use digitized immunofluorescence microscopy images to quantify antigen expression in defined tissue compartments. Because DDR is commonly activated in cancer and may reflect genetic instability within the lesion, a method to quantify DDR in cancer offers potential diagnostic and/or prognostic value. In this study, both AQUA and Tissue Studio algorithms were used to quantify the DDR in radiation-damaged skin fibroblasts, melanoma cell lines, moles, and primary and metastatic melanomas. Digital image analysis results for three markers of DDR (γH2AX, P-ATM, P-Chk2) correlated with immunoblot data for irradiated fibroblasts, whereas only γH2AX and P-Chk2 correlated with immunoblot data in melanoma cell lines. Melanoma cell lines displayed substantial variation in γH2AX and P-Chk2 expression, and P-Chk2 expression was significantly correlated with radioresistance. Moles, primary melanomas, and melanoma metastases in brain, lung and liver displayed substantial variation in γH2AX expression, similar to that observed in melanoma cell lines. Automated digital analysis of immunofluorescent images stained for DDR biomarkers may be useful for predicting tumor response to radiation and chemotherapy.     

Technical note: Bone DNA extraction and purification using silica-coated paramagnetic beads

The goal of this study was to develop a simple method to improve DNA recovery from challenging bone samples. To this end, an optimized procedure was developed that combined the demineralization and DNA extraction into a single step, followed by DNA purification using an automated silica-coated paramagnetic bead procedure. This method replaced a previous silica-membrane-based procedure, which was able to recover sufficient DNA to obtain full autosomal and Y chromosome STR profiles from greater than 90% of the samples, including samples greater than 20 years old. The development process began with the evaluation of buffer and demineralization systems to determine the best reagent combination. During the developmental process, we observed that the addition of EDTA and DTT affected silica-based DNA purification methods by raising the pH of the digest buffer. The protocols with buffer ATL, PK, EDTA, and DTT followed by lowering the pH with sodium acetate just before purification resulted in the best yields. The method reduced the extraction volume from 10 to 1.5 ml and used commercially available reagents already being utilized in forensic DNA casework. Because of the simplicity and small volume needed for the procedure, many steps where contamination could be introduced have been eliminated or minimized. This study demonstrated a new method of recovering DNA from bone samples capable of extracting trace quantities of DNA, removing potential inhibitors, and minimizing the potential for exogenous DNA contamination.     

Coupling of fully automated chip-based electrospray ionization to high-capacity ion trap mass spectrometer for ganglioside analysis

NanoMate robot was coupled to a high-capacity ion trap (HCT) mass spectrometer to create a system merging automatic chip-based electrospray ionization (ESI) infusion, ultrafast ion detection, and multistage sequencing at superior sensitivity. The interface between the NanoMate and HCT mass spectrometer consists of an in-laboratory constructed mounting device that allows adjustment of the robot position with respect to the mass spectrometer inlet. The coupling was optimized for ganglioside (GG) high-throughput analysis in the negative ion mode and was implemented in clinical glycolipidomics for identification and structural characterization of anencephaly-associated species. By NanoMate HCT mass spectrometry (MS), data corroborating significant differences in GG expression in anencephalic versus age-matched normal brain tissue were collected. The feasibility of chip-based nanoESI HCT multistage collision-induced dissociation (CID MSⁿ) for polysialylated GG fragmentation and isomer discrimination was tested on a GT1 (d18:1/18:0) anencephaly-associated structure. MS²-MS⁴ obtained by accumulating scans at variable fragmentation amplitudes gave rise to the first fragmentation patterns from which the presence of GT1b structural isomer could be determined unequivocally without the need for supplementary investigation by any other analytical or biochemical methods.