The Safe Zone

Two letters to the editor of the Maine Campus expressing opinions about proposes Safe Zone, on-campus housing for LGBTQ students

Types and Barriers Maine High School Students May Face in Fulfilling Post-Secondary Educational Aspirations

Why do only about one-half of Maine’s graduating seniors attend a college or university? What barriers to participation in higher education do Maine’s students encounter. This report attempts to provide some preliminary answers to this question by reporting findings from the research literature

Engineering of haloalkane dehalogenase enantioselectivity towards βbromoalkanes: Open-solvated versus occluded-desolvated active sites

Enzymatic catalysis is widely used for preparing optically pure chemicals. Natural catalysts have to be often optimized to exhibit sufficient enantioselectivity towards industrially attractive non-natural substrates. Understanding the molecular basis of enzyme–substrate interactions involved in enantiodiscrimination is essential for rational design of selective catalysts. Haloalkane dehalogenases (EC 3.8.1.5) can convert a broad range of halogenated aliphatic compounds to their corresponding alcohols via SN2 mechanism [1]. The very first haloalkane dehalogenase exhibiting high enantioselectivity towards β-brominated alkanes (E-values of up to 174) was DbjA from Bradyrhizobium japonicum USDA110 [2]. This enzyme has a wide open solvent-accessible active site and its enantioselectivity towards β-brominated alkanes is modulated by a surface loop unique to DbjA [2]. Assuming that the active site geometry is crucial for substrate recognition, it was proposed that DbjA’s enantioselectivity could be transferred to closely related, but non-selective DhaA from Rhodococcus rhodochrous NCIMB13064 [1] by active site transplantation [3]. The unique loop fragment from DbjA together with additional 8-point substitutions was inserted to DhaA. Although the crystal structure of resulting variant DhaA12 exhibited identical geometry of the active site and the access tunnel as DbjA, it did not reach identical level of hydration and flexibility and lacked enantioselectivity towards β-bromoalkanes (E-value = 18) [3]. Interestingly, the variant DhaA31 constructed independently with a goal to enhance enzyme activity towards anthropogenic compound 1,2,3-trichlopropane [4], exhibited high enantioselectivity towards 2-bromopentane (E-value = 179) [5] as DbjA (E-value = 174) [2, 3]. DhaA31 contains five mutations, I135F, C176Y, V245F, L246I and Y273F, located in a main and a slot tunnel. Four of five mutations are large and aromatic residues narrowing two access tunnels and occluding the enzyme active site [4]. The level of DhaA31 active site hydration, so important for DbjA’s enantioselectivity [2, 3] is low, suggesting a different structural basis of enantioselectivity towards 2-bromopentane. A systematic study on the molecular basis of enantioselectivity in DbjA, DhaA, and DhaA31 using thermodynamic and kinetic analyses, site-directed mutagenesis, and molecular modeling was carried out. DhaA31 enantioselectivity arises from the hydrophobic substrate’s interactions with the occluded and desolvated active site [5], while DbjA enantioselectivity results from water-mediated interactions of 2-bromopentane with the active site’s hydrophobic wall [2]. Our data imply that enantioselectivity of haloalkane dehalogenases can be achieved by both occluded-desolvated active site and open-solvated active site. The engineering of “DbjA-like” enantioselectivity by modification of the active site hydration remains challenging. References: 1. Koudelakova, T., et al. 2013. Biotechnol. J. 8: 32–45. Prokop, Z., et al. 2010. Angew. Chem. Int. Ed., 49: 6111-6115. Sykora, J., et al. 2014. Nat. Chem. Biol., 10: 428-430. Pavlova, M., et al. 2009. Nat. Chem. Biol., 5: 727-733. Liskova, V., et al. 2017. Angew. Chem. Int. Ed., DOI: 10.1002/anie.201611193

CAVERDOCK: A new tool for analysis of ligand binding and unbinding based on molecular docking

Understanding the protein-ligand interactions is crucial for engineering improved catalysts. The interaction of a protein and a ligand molecule often takes place in enzymes active site. Such functional sites may be buried inside the protein core, and therefore a transport of a ligand from outside environment to the protein inside needs to be understood. Here we present the CaverDock [1], implementing a novel method for analysis of these important transport processes. Our method is based on a modified molecular docking algorithm. It iteratively places the ligand along the tunnel in such a way that the ligand movement is contiguous and its energy is minimized. The output of the calculation is ligand trajectory and energy profile of transport process. CaverDock uses a modified version of the program AutoDock Vina [2] for molecular docking and implements a parallel heuristic algorithm to search the space of possible trajectories. Our method lies in between of geometrical approaches and molecular dynamics simulations. Contrary to geometrical methods, it provides an evaluation of chemical forces. However, it is not as computationally demanding as the methods based on molecular dynamics. The typical input of CaverDock requires setup for molecular docking and tunnel geometry obtained from Caver [3]. Typical computational time is in dozens of minutes at a single node, allowing virtual screening of a large pool of molecules. We demonstrate CaverDock usability by comparison of a ligand trajectory in different tunnels of wild type and engineered proteins; and computation of energetic profiles for a large set of substrates and inhibitors. CaverDock is available from the web site http://www.caver.cz. 1. Vavra, O., Filipovic, J., Plhak, J., Bednar, D., Marques, S., Brezovsky, J., Matyska, L., Damborsky, J., CAVERDOCK: A New Tool for Analysis of Ligand Binding and Unbinding Based on Molecular Docking. PLOS Computational Biology (submitted). 2. Trott, O., Olson, A.J., AutoDock Vina: Improving the Speed and Accuracy of Docking with a New scoring function, efficient optimization and multithreading, Journal of Computational Chemistry 31: 455-461, 2010. 3. Chovancova, E., Pavelka, A., Benes, P., Strnad, O., Brezovsky, J., Kozlikova, B., Gora, A., Sustr, V., Klvana, M., Medek, P., Biedermannova, L., Sochor, J., Damborsky, J., 2012: CAVER 3.0: A Tool for Analysis of Transport Pathways in Dynamic Protein Structures. PLOS Computational Biology 8: e1002708

FireProt: Web server for automated design of thermostable proteins

Stable proteins are used in numerous biomedical and biotechnological applications. Unfortunately, naturally occurring proteins cannot usually withstand the harsh industrial environment, since they are mostly evolved to function at mild conditions. Therefore, there is a continuous interest in increasing protein stability to enhance their industrial potential. A number of in silico tools for the prediction of the effect of mutations on protein stability have been developed recently. However, only single-point mutations with a small effect on protein stability are typically predicted with the existing tools and have to be followed by laborious protein expression, purification, and characterization. A much higher degree of stabilization can be achieved by the construction of the multiple-point mutants. Here, we present the FireProt method [1] and the web server [2] for the automated design of multiple-point mutant proteins that combines structural and evolutionary information in its calculation core. FireProt utilizes sixteen bioinformatics tools, including several force field calculations. Highly reliable designs of the thermostable proteins are constructed by two distinct protein engineering strategies, based on the energy and evolution approaches and the multiple-point mutants are checked for the potentially antagonistic effects in the designed protein structure. Furthermore, time demands of the FireProt method are radically decreased by the utilization of the smart knowledge-based filters, protocol optimization, and effective parallelization. The server is complemented with an interactive, easy-to-use interface that allows users to directly analyze and optionally modify designed thermostable proteins. The server is freely available at http://loschmidt.chemi.muni.cz/fireprot. 1. Bednar, D., Beerens, K., Sebestova, E., Bendl, J., Khare, S., Chaloupkova, R., Prokop, Z., Brezovsky, J., Baker, D., Damborsky, J., 2015: FireProt: Energy- and Evolution-Based Computational Design of Thermostable Multiple-Point Mutants. PLOS Computational Biology 11: e1004556. 2. Musil, M., Stourac, J., Bendl, J., Brezovsky, J., Prokop, Z., Zendulka, J., Martinek, T., Bednar, D., Damborsky, J., 2017, FireProt: Web Server for Automated Design of Thermostable Proteins, Nucleic Acids Research, in press, doi: 10.1093/nar/gkx285

Restriction of access to the central cavity is a major contributor to substrate selectivity in plant ABCG transporters

ABCG46 of the legume Medicago truncatula is an ABC-type transporter responsible for highly selective translocation of the phenylpropanoids, 4-coumarate, and liquiritigenin, over the plasma membrane. To investigate molecular determinants of the observed substrate selectivity, we applied a combination of phylogenetic and biochemical analyses, AlphaFold2 structure prediction, molecular dynamics simulations, and mutagenesis. We discovered an unusually narrow transient access path to the central cavity of MtABCG46 that constitutes an initial filter responsible for the selective translocation of phenylpropanoids through a lipid bilayer. Furthermore, we identified remote residue F562 as pivotal for maintaining the stability of this filter. The determination of individual amino acids that impact the selective transport of specialized metabolites may provide new opportunities associated with ABCGs being of interest, in many biological scenarios

Algoritmos de recomendação

As produções audiovisuais visualizadas por cada usuário na plataforma de streaming Netflix são baseadas, em parte, nos dados coletados, tratados e arquivados sobre como e o que foi consumido anteriormente por ele e por outros usuários. As sugestões de novos conteúdos são efetuadas por sistemas de recomendação e são operacionalizadas por um conjunto de algoritmos, que por muitas vezes são mantidos em segredo comercial. A Netflix, em seu site, propõe uma “uma descrição de alto nível” sobre o sistema de recomendação “em uma linguagem para leigos”. Este artigo analisa como esse texto explicita o funcionamento dessas ferramentas, articulando-o com autores que já fizeram parte do grupo de programadores da plataforma, outros críticos, e especialistas em algoritmos de recomendação. A análise demonstrou que, a partir da coleta de poucos dados do usuário, especialmente se comprado com o volume geralmente extraído de sites de redes sociais, é possível efetivar seu elaborado sistema de recomendação de forma personalizada. Os dados coletados se comportam como um “padrão de inclusão” e se constituem em matéria prima de um banco de dados que alimenta o sistema, criando um complexo perfil personalizado para cada indivíduo. Esse perfil é o que recomenda novos títulos no sistema de busca e orienta, principalmente, a posição do item nas fileiras na interface inicial. Por fim, a posição do título na interface e a fileira da qual faz parte influenciam significativamente na escolha da produção, o que tem consequências no contato com a diversidade de produtos audiovisuais, na manutenção da assinatura, e na experiência de consumo na plataforma

Fluorescent substrates for haloalkane dehalogenases: Novel probes for mechanistic studies and protein labeling

Haloalkane dehalogenases are enzymes that catalyze the cleavage of carbon-halogen bonds in halogenated compounds. They serve as model enzymes for studying structure-function relationships of >100.000 members of the alpha/beta-hydrolase superfamily. Detailed kinetic analysis of their reaction is crucial for understanding the reaction mechanism and developing novel concepts in protein engineering. Fluorescent substrates, which change their fluorescence properties during a catalytic cycle, may serve as attractive molecular probes for studying the mechanism of enzyme catalysis. In this work, we present the development of the first fluorescent substrates for this enzyme family based on coumarin and BODIPY chromophores. Steady-state and pre-steady-state kinetics with two of the most active haloalkane dehalogenases, DmmA and LinB, revealed that both fluorescent substrates provided specificity constant two orders of magnitude higher (0.14-12.6 mu M(-1)s(-1)) than previously reported representative substrates for the haloalkane dehalogenase family (0.00005-0.014 mu M(-1)s(-1)). Stopped-flow fluorescence/FRET analysis enabled for the first time monitoring of all individual reaction steps within a single experiment: (i) substrate binding, (ii-iii) two subsequent chemical steps and (iv) product release. The newly introduced fluorescent molecules are potent probes for fast steady-state kinetic profiling. In combination with rapid mixing techniques, they provide highly valuable information about individual kinetic steps and mechanism of haloalkane dehalogenases. Additionally, these molecules offer high specificity and efficiency for protein labeling and can serve as probes for studying protein hydration and dynamics as well as potential markers for cell imaging. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology

Substrate inhibition by the blockage of product release and its control by tunnel engineering

Substrate inhibition is the most common deviation from Michaelis-Menten kinetics, occurring in approximately 25% of known enzymes. It is generally attributed to the formation of an unproductive enzyme-substrate complex after the simultaneous binding of two or more substrate molecules to the active site. Here, we show that a single point mutation (L177W) in the haloalkane dehalogenase LinB causes strong substrate inhibition. Surprisingly, a global kinetic analysis suggested that this inhibition is caused by binding of the substrate to the enzyme-product complex. Molecular dynamics simulations clarified the details of this unusual mechanism of substrate inhibition: Markov state models indicated that the substrate prevents the exit of the halide product by direct blockage and/or restricting conformational flexibility. The contributions of three residues forming the possible substrate inhibition site (W140A, F143L and I211L) to the observed inhibition were studied by mutagenesis. An unusual synergy giving rise to high catalytic efficiency and reduced substrate inhibition was observed between residues L177W and I211L, which are located in different access tunnels of the protein. These results show that substrate inhibition can be caused by substrate binding to the enzyme-product complex and can be controlled rationally by targeted amino acid substitutions in enzyme access tunnels