Posters

Category 'M'- Protein Structure and Function Prediction and Analysis'
Poster - M01
Identification of Mn/FeSODs structural determinants necessary to metal specificity

Laureana Stelmastchuk, University of São Paulo, Brazil
Richard Charles Garrat, Physics Institute of São Carlos, Brazil
José Ribamar Ferreira-Júnior, School of Arts, Sciences and Humanitites, Brazil
José Fernando Bachega, PUCRS, Brazil
 
Short Abstract: Superoxide dismutases are metalloenzymes that convert the superoxide anion in molecular oxygen and hydrogen peroxide. Iron and manganese SODs have homologous primary sequences and superposable crystallographic structures. However, at the catalytic level, both proteins diverged sufficiently to prevent interchange of their metallic centers.
 
Poster - M02
HOMOLOGY-BASED MODELING AND MOLECULAR DYNAMICS OF BOVINE PAPILLOMAVIRUS TYPE 5 E6

Tales Feitosa, Federal University of Sergipe, Brazil
Marcus Batista, Federal University of Sergipe, Brazil
 
Short Abstract: Bovine papillomavirus is a circular dsDNA virus that expresses three oncoproteins, E5, E6 and E7. Here we modeled BPV-5 E6 oncoprotein and analyzed its structural/functional aspects in comparison to E6 from BPV-1. The structure has a TM-score of 0.80784, 93.3% in Ramachandran plot and RMSD of 2.46 Å.
 
Poster - M03
Systematic assessment of homology models for the hERG K+ channel pore using molecular dynamics simulation

Marcelo Querino Lima Afonso, Universidade Federal de Minas Gerais, Brazil
Charlotte Colenso, Universidad Austral de Chile, Chile
Christopher Dempsey, University of Bristol,
 
Short Abstract: hERG is a clinically important human potassium channel due to it's undesired drug interactions. There is no structure for hERG and alignment with other K+ channels is difficult. We made a systematic series of hERG pore models and used molecular dynamics to identify stable models that best matched experimental data.
 
Poster - M04
In Silico Characterization Of The HIUase/Transthyretin Protein Family By Decomposition Of Residue Correlation Networks And Structural Analysis

Natan Pedersolli, Federal University of Minas Gerais, Brazil
Lucas Bleicher, Federal University of Minas Gerais, Brazil
 
Short Abstract: HIUases/transthyretins are an example of divergent evolution, containing both enzymes in the purine metabolism pathway and a hormone transport protein. Here, we use residue conservation and correlation analysis to understand the sequence-structure-function relationships in this protein family and identify key residues in different members.
 
Poster - M05
Structural studies of two nuclear receptors of C. elegans

Natália Fontana, Universidade Federal de Minas Gerais, Brazil
Leonardo Lima, Universidade Federal de São João Del-Rei, Brazil
Lucas Bleicher, Universidade Federal de Minas Gerais, Brazil
 
Short Abstract: Many C. elegans nuclear receptors share a drastic variation in the region defining DNA specificity in this transcription factor protein family. This study aims to elucidate the structure and dynamics of two of these receptors, and predict the DNA sequences they might bind to, using computational biology tools.
 
Poster - M06
AutoModel 0.5, a graphical interface for protein homology modeling: improved communication performance and alignment pipeline

Joao Luiz de Almeida Filho, Universidade Estadual do Norte Fluminense, Brazil
Jorge Hernandez Fernandez, Universidade Estadual do Norte Fluminense, Brazil
 
Short Abstract: AutoModel is a homology modeling tool that aims to facilitate complexes modeling through an intuitive graphical interface. The AutoModel 0.5 has better network performance and, enables use of multi-sequence alignment with structural profile. AutoModel is a beta web-service and able: template searching, alignment, heteroatoms recognition, modeling, loop refinement, and assessment procedures.
 
Poster - M07
Characterizing the Physicochemical Properties of SiO2-Supported Membranes: A Molecular Dynamics Study

Sebastian Gutierrez-Maldonado, Fundacion Ciencia & Vida, Chile
Maria Jose Retamal, Pontificia Universidad Catolica de Chile, Chile
Marcelo Cisternas, Pontificia Universidad Catolica de Chile, Chile
Ulrich Volkmann, Pontificia Universidad Catolica de Chile, Chile
Tomas Perez-Acle, Fundacion Ciencia & Vida, Chile
 
Short Abstract: Various biotechnological applications have arisen from the manufacturing of synthetic membranes. These applications range from modelling the function of cell membranes to developing biosensors with the incorporation of membrane proteins. Synthetic membranes, composed mainly by phospholipid bilayers supported on solid surfaces, have several advantages over similar systems, as they are stable, easy to manufacture and they exhibit lipid mobilities similar to those found in vesicles. However, upon inclusion of membrane proteins, the proximity to the solid support becomes a liability in terms of protein functionality, also limiting lateral displacements of the protein. Several approaches have been employed to solve this problem, with the incorporation of polymers in the form of cushions being one of the most widely used.
In previous work carried out by our group, a biocompatible polysaccharide (Chitosan) and a dipalmitoylphosphatidylcholine (DPPC) lipid bilayer were deposited from the gas phase in high vacuum onto a Si(100) surface covered with its native SiO2 layer, providing a hydrated support. This system was further characterized by Raman spectroscopy, very high resolution ellipsometry and atomic force microscopy. These results showed that the presence of chitosan was essential for both DPPC bilayer formation and stability when subjected to temperature changes.
In order to provide a complementary description to experimental data, we have built an in silico model of this synthetic membrane. This model allows us to describe the physicochemical properties of the Si(100)/SiO2/chitosan/DPPC system by means of molecular dynamics simulations. Our work focuses on characterizing the membrane in terms of its area per lipid, order parameter, lateral diffusion, among other properties. This gives us an insight of the interactions occurring at the atomic and molecular level between the polysaccharide and the bilayer. These simulations are being performed using an United Atom forcefield description and the GROMACS simulation package. Our results indicate that the interaction between chitosan and DPPC affects the ordering of the alkane tails of the bilayer, although leaving the area per lipid unmodified. Still, further description of the system is needed as the incorporation of the Si(100)/SiO2 solid support will introduce more variations to the ones already described in the present work.
 
Poster - M08
Rational discovery of new capsaicin analogues as TRPV1 activators

Javier Cáceres, Universidad Andrés Bello, Chile
Romina Sepúlveda, Universidad Andrés Bello, Chile
Camila Navas, Universidad Andrés Bello, Chile
Ramón Latorre, Universidad de Valparaíso, Chile
Fernando González-Nilo, Universidad Andrés Bello, Chile
 
Short Abstract: TRPV1 is an polymodal non-selective cation channel that has been proposed as the integrator of diverse noxious stimulus in the pain generation pathway. This research aims to identify novel activators of TRPV1 by taking capsaicin as a model for structure-ligand interaction and to unravel the structure-function relationship in channel gating.
 
Poster - M09
Transition between PrPC and PrPSc in monomers and trimers studied by Normal Modes Analysis and Activated Molecular Dynamics simulations

Angelica Lima, Universidade Federal do ABC, Brazil
Antônio Braz, Universidade Federal do ABC, Brazil
David Perahia, Ecole Normale Supérieure de Cachan, France, France
Luis Paulo Scott, Universidade Federal do ABC, Brazil
 
Short Abstract: PrPC and PrPSc have the same primary structure, but the structure of PrPSc remains unknown. So, to investigate and understand the structure of PrPSc and aggregates is important to understanding the mechanisms of diseases. Our results showed a model of PrPSc used Normal Modes Analysis and Molecular Dynamics.
 
Poster - M10
ASTA-FUNK: Alternative Splicing Transcriptional Analyses analyzing FUNctional Kraft

Vitor Coelho, National Laboratory for Scientific Computing, Brazil
Michael Sammeth, National Laboratory for Scientific Computing, Brazil
 
Short Abstract: ASTA-FUNK is an automated and efficient stand-alone program to study how diversity of a custom transcriptome with a high degree of AS translates into functional variation, based on standard transcriptome annotations (in GTF, Gene Transfer Format) and profile Hidden Markov Models of domains from Pfam.
 
Poster - M11
Virtual screening aiming to the identification of inhibitors against ribose 5-phosphate isomerase from Trypanosoma cruzi

Vanessa Castilho, Fundação Oswaldo Cruz, Brazil
Ernesto Caffarena, Fundação Oswaldo Cruz, Brazil
Ana Carolina Guimarães, Fundação Oswaldo Cruz, Brazil
 
Short Abstract: In this work, we have used molecular docking techniques to identify potential inhibitors against the enzyme ribose 5-phosphate isomerase of Trypanosoma cruzi (TcR5PI). Virtual screening studies were carried out using AutoDock Vina with the crystal structure of TcR5PI prepared with and without the critical water molecules in the active site.
 
Poster - M12
GPCR identification in Fusarium graminearum

Emmanuel Bresso, Universidade de Brasilia / EMBRAPA, Brazil
Bernard Maigret, CNRS, France
Natalia Florencio Martins, EMBRAPA, Brazil
 
Short Abstract: Fusarium graminearum is a filamentous fungus and is a highly destructive pathogen of cereals which reduces grain quality rather than grain production. As already existent fungicides are moderately effective, we identify and characterize GPCRs from Fusarium graminearum proteome in order to find a target to a new fungicide.
 
Poster - M13
In silico analysis and expression profile of the ubiquitin-conjugating enzyme family in Schistosoma mansoni

Marcela Costa, Universidade Federal de Ouro Preto, Brazil
Victor Oliveira, Universidade Federal de Ouro Preto, Brazil
Roberta Pereira, Universidade Federal de Ouro Preto, Brazil
William Borges, Universidade Federal de Ouro Preto, Brazil
Renata Guerra-Sá, Universidade Federal de Ouro Preto, Brazil
 
Short Abstract: Ubiquitination is a post-translational modification, with a crucial role during Schistosoma mansoni life cycle. Here, we identified in silico 17 ubiquitin conjugating enzymes within the parasite genome and report on its conservation, evidenced by phylogeny analysis and structure homology modelling, besides of gene expression levels across the parasite’s life cycle.
 
Poster - M14
Force field influence on peptides dynamics: an analysis of three-dimensional models of C-terminal extension of cysteine protease B of Leishmania (L.) amazonensis

Deborah dos Santos, Fundação Oswaldo Cruz, Brazil
Carlos Alves, Fundação Oswaldo Cruz, Brazil
Ernesto Caffarena, Fundação Oswaldo Cruz, Brazil
 
Short Abstract: This study proposes structural models for the cyspep to analyze its structural stability by molecular dynamics under the influence of different force fields. Results suggest cyspep might adopt a β-sheets conformation while α-helix were not stable. The GROMOS force field best reproduced the prediction of secondary structure elements.
 
Poster - M15
Impact of alternative processing of transcripts by spliced leader trans-splicing in the predicted proteome of Schistosoma mansoni

Jéssica Hickson Rios, Universidade Federal de Minas Gerais, Brazil
André Reis , UFMG, Brazil
Michele Pereira, UFMG, Brazil
Carolina Castro, UFMG, Brazil
Mainá Bitar, UFMG, Brazil
Mariana Boroni, UFMG, Brazil
Glória Franco, UFMG, Brazil
 
Short Abstract: The spliced leader trans-splicing (SLTS) has been shown to be alternatively regulated by using distinctive acceptors sites throughout the transcript body, however its importance to S. mansoni is still unrevealed. The aim of this study was to investigate the impact of alternative processing by SLTS in the proteome of parasite.
 
Poster - M16
Identifying Drug Repositioning Targets Using Text Mining

Eduardo Barçante, FIOCRUZ, Brazil
Milene Jezuz, FIOCRUZ, Brazil
Felipe Duval, FIOCRUZ, Brazil
Ernesto Caffarena, FIOCRUZ, Brazil
Oswaldo Cruz, FIOCRUZ, Brazil
Fabricio Silva, FIOCRUZ, Brazil
 
Short Abstract: The main purpose of this work is to explore the PubMed database from the National Library of Medicine. Through this database of digital textual documents, we aim to develop a method capable of identifying protein terms that will serve as a substrate to laboratory practices for repositioning drugs.
 
Poster - M17
Structural and dynamical transitions in Ankyrin repeat proteins

R. Gonzalo Parra, Buenos Aires University, Argentina
R. Gonzalo Parra, Protein Physiology Laboratory, Argentina
Diego U. Ferreiro, Protein Physiology Laboratory, Argentina
 
Short Abstract: Structural and dynamical transitions in Ankyrin repeat proteins
R. Gonzalo Parra, Diego U. Ferreiro

Background
Repeat proteins are composed of tandem copies of similar motifs that can spontaneously self-organize in symmetrical structural forms. Ankyrin repeat proteins comprise a naturally abundant family present in all phyla, most frequently found enriched in eukaryotes and their pathogens. These proteins are typically constructed a variable number of copies of a ~33 residues length motif, often interspread with other non-repeating elements. How do the relatively small sequence variations change the population of the structural forms?

Description
We curated all the high-resolution structural data for ankyrin-repeat containing proteins and used a geometric approach to define repeat-units and repeat-arrays [1]. We calculated the energetics of the native-contact networks and analysed the local frustration patterns [2] of the different repeating elements, the array of repeats and the insertions or deletions with respect to canonical units. We quantified the degree of conservation of the energetic state over the canonical positions and for the interactions that these present in the natively folded forms. Coarse grained molecular simulations were performed with the AWSEM package [3] and representative ankyrin-repeat structures in order to relate the energetic heterogeneities to structural transitions.

Results
We found that natural ankyrin-repeat proteins are composed of at least three different types of repeat-units that differ in the stabilization gained by the burial from solvent upon folding. These energies are reflected in differential sequence signatures and secondary structure composition of the repeat-types. We found that natural repeat-arrays present patches of highly frustrated interactions that are typically localized in specific regions: in the insertions between repeat-units, at binding-sites for protein-protein interactions, and at the terminal repeats. The degree of conservation of the frustration states of canonical positions is highly correlated with the variations of the sequence along the family. The positions that have high conservation of the frustrated state at the single residue level are connected by a minimally frustrated interaction network. We speculate that consensus sequences stabilize the overall fold by maximizing the energetic gap between the folded and unfolded states establishing a network of minimally frustrated interactions both within and between adjacent repeats. We will discuss how the dynamical properties of these molecules may emerge from the differential energetic distribution along an array of repeating elements.

[1] RG Parra , R Espada , IE ánchez , MJ. Sippl , and DU. Ferreiro. “Detecting repetitions and periodicities in proteins by tiling the structural space . J Phys Chem B. 2013
[2] M. Jenik, RG. Parra, LR Radusky, A Turjanski, PG Wolynes, DU Ferreiro. “Protein Frustratometer : A Tool to Localize Energetic Frustration in Protein Molecules”. Nucleic Acids Res. 2012 Jul;40(Web Server issue)
[3] Davtyan A1, Schafer NP, Zheng W, Clementi C, Wolynes PG, Papoian GA. AWSEM-MD: protein structure prediction using coarse-grained physical potentials and bioinformatically based local structure biasing. J Phys Chem B. 2012
 
Poster - M18
New Pharmasite Fuzzy: A Comparative research of active sites by using fuzzy pharmacophoric fingerprints.

Fábio Santos, Universidade Federal de Minas Gerais, Brazil
Júlio César Dias Lopes, Universidade Federal de Minas Gerais, Brazil
 
Short Abstract: The identification and comparison between ligand-binding sites in protein structures is a crucial task in structural bioinformatics, and has applications in important areas. Thus, this work used fuzzy fingerprints to compare active or binding sites for several benchmark datasets.
 
Poster - M19
Visual and interactive strategies to reveal patterns of protein-ligand interactions

Alexandre Fassio, Universidade Federal de Minas Gerais, Brazil
Sabrina Silveira, Universidade Federal de Minas Gerais, Brazil
Raquel Cardoso de Melo-Minardi, Universidade Federal de Minas Gerais, Brazil
 
Short Abstract: We propose visual and interactive strategies to depict the types of interactions established between a protein and its ligands and materialized these strategies into a tool called nAPOLI (Analysis of PrOtein Ligand Interactions). nAPOLI is a quite different approach which aims at being more easy and intuitive.�
 
Poster - M20
Dynamic behavior study of the human P2X7 receptor through comparative modeling and molecular dynamics

Rafael Soares, Instituto Oswaldo Cruz, Brazil
 
Short Abstract: This work proposes a P2X7R structural model, in its open state, inserted in a lipid bilayer composed of dipalmitoylphosphatidylcholine (DPPC) to analyze the dynamics of channel closure and ions passage.
 
Poster - M21
Flexibly Constrained Clustering for Imprecise Data Integration and Enzyme Functional Clustering

Elisa Boari de Lima, Universidade Federal de Minas Gerais, Brazil
Raquel Minardi, Universidade Federal de Minas Gerais, Brazil
Wagner Meira Jr., Universidade Federal de Minas Gerais, Brazil
 
Short Abstract: Our main goal is to propose a strategy for selecting and combining pieces of evidence of functional similarity between pairs of enzymes, and to analyze the impact of their integration as constraints imposed on a clustering algorithm using flexibly constrained clustering and genetic programming.
 
Poster - M22
A Statistical Model for prediction of hydrogen/deuterium exchange based on data from Normal Mode Analysis.

Lucas Machado, FIOCRUZ, Brazil
Mauricio Costa, Fiocruz, Brazil
Luiz Carvalho, Fiocruz, Brazil
Leonardo Bastos, Fiocruz, Brazil
Ernesto Caffarena, Fiocruz, Brazil
Paulo Ricardo Batista, Fiocruz , Brazil
 
Short Abstract: Predicting protein flexibility is a major challenge of the computational biology. Experimental studies of the hydrogen/deuterium exchange (HX) rates in proteins can infer dynamics. We developed a statistical-based method to predict the HX-rates of some proteins from the normal modes analysis of its structures.
 
Poster - M23
Recognition of a suitable receptor structure for the virtual screening of novel HIV-1 reverse transcriptase inhibitor

Lucianna Santos, Fundação Oswaldo Cruz, Brazil
Vanessa Silva, Fundação Oswaldo Cruz, Brazil
Fancielly Costa, Universidade Federal de Minas Gerais, Brazil
Ernesto Caffarena, Fundação Oswaldo Cruz, Brazil
Rafaela Ferreira, Universidade Federal de Minas Gerais, Brazil
 
Short Abstract: Identification of an appropriate HIV-1 reverse transcriptase structure to achieve better results in virtual screening of a large subset of compounds by means of computational techniques. The focus are on high resolution structures in complex with known inhibitors.
 
Poster - M24
Researching Patterns on Proteins Disordered Regions Through Data Mining

Andre Kliousoff, ABC Federal University, Brazil
Luis Paulo Scott, UFABC, Brazil
 
Short Abstract: This work consists in to investigate patterns in primary / secondary structure, looking for physicochemical properties of the regions of disorder and in their neighborhoods.For this purpose two data mining techniques (association rules and clustering analysis) were applied over a protein disordered regions database.
 
Poster - M25
Identification of highly mutated regions in DNA binding proteins from whole-exome sequences of tumors

Juan Pablo Bascur, Universidad Andres Bello, Chile
Daniel Pizarro, Universidad Andres Bello, Chile
Daniel Eduardo Almonacid, Universidad Andres Bello, Chile
 
Short Abstract: Mutations from tumor exomes were analyzed to determine the mutated beyond expectation proteins. From this set, the ones with specific interaction with DNA were compared using blastp and visualized in a sequence similarity network. Clusters of homologous sequences were aligned and their mutations mapped to identify highly mutated regions.
 
Poster - M26
Epitopes From Different Species Share Different Characteristics

Camila Oliveira, Universidade Federal de Minas Gerais, Brazil
Andrea Vilela, Universidade Federal de Minas Gerais, Brazil
Benjamin Viart, Universidade Federal de Minas Gerais, Brazil
Edgar Kozlova, Universidade Federal de Minas Gerais, Brazil
Carlos Olortegui, Universidade Federal de Minas Gerais, Brazil
Liza Felicori, Universidade Federal de Minas Gerais, Brazil
 
Short Abstract: This work presents the difference in epitope recognition in different species through experimental and computacional approaches. It shows that different animals produce different antibodies capable of recognizing the antigen effectively but in different regions. Besides that, epitopes can be grouped according to animal genus based on epitope physicochemical properties.
 
Poster - M27
Comparative modelling and structural analysis of metalloproteinase of Leishmania (Viannia) braziliensis

Amanda Hammes, Fundação Oswaldo Cruz, Brazil
Ernesto Raúl Caffarena, Fundação Oswaldo Cruz, Brazil
Carlos Roberto Alves, Fundação Oswaldo Cruz, Brazil
 
Short Abstract: This study aims to build three-dimensional structures of metalloproteinases of Leishmania V. braziliensis by means of comparative modeling technique. Bearing in mind the find of potential leishmanicidal compounds, virtual screening method will be used with Dock 6.6 program against a pre-selected ligand dataset extracted from ZINC.
 
Poster - M28
Distribution analysis of genes involved in nitrogenase ADP-Ribosylation

Flávia Costa, Universidade Federal do Paraná, Brazil
Luciano Fernandes Huergo, Universidade Federal do Paraná, Brazil
Leonardo Magalhães Cruz, Universidade Federal do Paraná, Brazil
Emanuel Maltempi de Souza, Universidade Federal do Paraná, Brazil
Fábio de Oliveira Pedrosa, Universidade Federal do Paraná, Brazil
 
Short Abstract: Bioinformatics analysis to discover homologs organisms of the Azospirillum brasilense’s ADP-ribosiltrasnferase (DraT) and ADP-ribosyl-hydrolase (DraG) enzymes, responsible for the ADP-ribosylation process, related to the Biological Nitrogen Fixation process.
 
Poster - M29
Is there a voltage-controlled hydraulic gating mechanism in human Connexin Hemichannels?

Tomas Perez-Acle, Fundación Ciencia & Vida, Chile
Claudia Pareja, Fundación Ciencia & Vida, Chile
Yerko Escalona, Fundación Ciencia & Vida, Chile
Jose Antonio Garate, Fundación Ciencia & Vida, Chile
Alejandro Bernardin, Fundación Ciencia & Vida, Chile
Agustin Martinez, Universidad de Valparaíso, Chile
Isaac Garcia, Universidad de Valparaíso, Chile
Juan Carlos Saez, Universidad Católica de Chile, Chile
Raul Araya, Fundación Ciencia & Vida, Chile
Tien Huynh, IBM Watson Research Center, USA Minor Outlying Islands
Seung-gu Khan, IBM Watson Research Center, USA Minor Outlying Islands
Ruhong Zhou, IBM Watson Research Center, USA Minor Outlying Islands
 
Short Abstract: Connexins (Cxs) are proteins constituents of gap junction channels that connect the cytoplasm of adjacent cells by the end-to-end docking of two Cx hemichannels. Despite the broad interest to understand the functional state of Cx-based channels, there are still many unanswered questions regarding structure-function relationships, perm-selectivity, and gating mechanisms. Using molecular dynamics simulations to characterize hCx26 internal water structure and dynamics, six intracellular (IC) pockets were identified per hemichannel. During our molecular dynamics simulations, we found that the IC pocket becomes quickly hydrated from the early stage of equilibration remaining hydrated afterward for the rest of the production. A detailed characterization of the dynamics and ordering of water including conformational variability of residues forming the IC pockets, together with multiple sequence alignments, allowed us to propose a functional role for this cavity. Then, we found that Arg-143 and Phe-29 establish strong interactions with water molecules within the IC pocket. In vitro experiments demonstrate that Arg-143 plays an essential role on the hCx26 hemichannel activity. These findings might provide new insights into the molecular mechanism on gating of hCx26 hemichannels as well as novel potential drug design strategies for Cx-related diseases.
 
Poster - M30
Using sequence similarity networks to understand the distribution of the β-glucuronidase activity in the GH-A clan of the glycosyl hydrolase superfamily

Nelly Arriagada, Universdad Andrés Bello, Chile
Daniel Almonacid Coronado, Universidad Andres Bello, Chile
 
Short Abstract: Starting from the sequence information present in the CAZy database, we created sequence similarity networks for all enzymes belonging to clan GH-A of the glycosyl hydrolase superfamily. We then mapped functional information into the generated networks to rationalize the structure-function linkage paradigm for the clan and especially for β-glucuronidases.
 
Poster - M31
Identifying new transient receptor potential (TRP) channels in organisms from across the eukaryotic domain

Melissa Alegría-Arcos, Universidad Andrés Bello, Chile
Felipe Bravo, Universidad Andrés Bello, Chile
Ignacio Varas, Universidad Andrés Bello, Chile
Sebastian Brauchi, Universidad Austral de Chile, Chile
Daniel Almonacid, Universidad Andrés Bello, Chile
 
Short Abstract: We identified new TRP channels in all eukaryotic organisms by creating a sequence similarity network. This network identified over 7000 uncharacterized proteins that have high similarity with functionally characterized members of the TRP subgroup. Our analyses underpin the robustness of the architecture of TRP channels through evolution.
 
Poster - M32
Increasing references for improve the residue-residue interaction characterization

Cristiano Monteiro, Centro Universitário de Belo Horizonte, Brazil
Sandro Renato Dias, CEFET-MG, Brazil
Otaviano Martins Monteiro, Faculdade Anhanguera de Belo Horizonte, Brazil
 
Short Abstract: This work aims to improve the characterization of the interactions between amino acid residues on Residue Interaction Database (RID) tool by increasing the number of references applied. Will be used existing information about a protein with known three-dimensional structure obtained through the free public Protein Data Bank (PDB).
 
Poster - M33
Use of procedure in MySQL for database search optimization in biological data

Sandro Renato Dias, CEFET-MG, Brazil
Otaviano Monteiro Faculdade Anhanguera de Belo Horizonte, Brazil
Sandro Renato Dias, CEFET-MG, Brazil
Cristiano Martins Monteiro, Centro Universitário de Belo Horizonte - UniBH, Brazil
 
Short Abstract: This work presents the use of the procedure in MySQL to optimize the search in biological database. With this optimization, the processing to compare the atomic distances of different proteins and propose changes will have higher performance.
 
Poster - M34
Generation of a β-glucuronidase with enhanced affinity for codeine-6-glucuronide

Nicole Garcia, Universidad Andrés Bello, Chile
Ignacio Varas, Universidad Andrés Bello, Chile
Manuel Rosas, Kura Biotec, Chile
Daniel Almonacid, Universidad Andrés Bello, Chile
 
Short Abstract: We generated in silico mutations of the active-site residues of E. coli β-glucuronidase, used for hydrolysis of drugs in doping tests. This active-site mutations allowed us to improve the binding affinity of the enzyme for codeine-6-glucuronide, which is inefficiently hydrolyzed by the E.coli β-glucuronidase available commercially.
 
Poster - M35
Pipeline for the automatic generation of sequence similarity networks

Ignacio Varas, Universidad Andrés Bello, Chile
Melissa Alegria-Arcos, Universidad Andrés Bello, Chile
Daniel Almonacid, Universidad Andrés Bello, Chile
 
Short Abstract: We developed an automated pipeline for the generation of sequence similarity networks in order to reduce the time and risk of human error in their generation. The pipeline was developed in python, and has been applied to study the evolution of enzymes in cancer, classification of transmembrane proteins, among others.
 
Poster - M36
Analysis of the active and inactive states of EGFR kinase domain by pockets and cavities structural properties comparison

Marcia Hasenahuer, Universidad Nacional de Quilmes, Argentina
Yanina Powazniak, Fundación Investigar - Argenomics, Argentina
Guillermo Bramuglia, Fundación Investigar-Argenomics, Argentina
Gustavo Parisi, Universidad Nacional de Quilmes, Argentina
María Silvina Fornasari, Universidad Nacional de Quilmes, Argentina
 
Short Abstract: We aim to present a structural and physicochemical characterization of EGFR kinase pockets that differentiate active and inactive conformations. Also, we try to elucidate the effect of single aminoacid substitutions -including some unique to Argentinian patients- in those pockets, that could trigger the unregulated kinase activity found in many tumors.
 
Poster - M37
Using conformational preferences of amino acid residues and meta-heuristics to predict 3-D protein structures

Bruno Borguesan, Federal University of Rio Grande do Sul, Brazil
Marcio Dorn Federal University of Rio Grande do Sul, Brazil
Bruno Grisci, Federal University of Rio Grande do Sul, Brazil
Marcio Dorn, Federal University of Rio Grande do Sul, Brazil
Mario Inostroza-Ponta, University of Santiago, Chile, Chile
 
Short Abstract: None On File
 
Poster - M38
An improved nucleic acid parameter set for the force field based in genetic algorithm coupled with quantum calculations.

Rodrigo Kato, UFMG, Brazil
Frederico Silva, UFMG, Brazil
Gisele Pappa, UFMG, Brazil
Jadson Belchior, UFMG, Brazil
 
Short Abstract: This study the dihedral is reparametrized in order to test the proposed approach, i.e, GA coupled with quantum mechanics calculations. The new reparametrized potential energy function is used to determine the structure of a PDB molecule (1r4h). The structure was improved about 82% compared with previous published results.
 
Poster - M39
Molecular modeling of Phospholipase D (Sphingomyelinase) from Corynebacterium pseudotuberculosis (CpEMaseD) in the Development of Potential Microbicides Molecules

Alberto Oliveira Junior, Universidade Federal de Minas Gerais, Brazil
Francielly da Costa, Universidade Federal de Minas Gerais, Brazil
Rafaela Ferreira, Universidade Federal de Minas Gerais, Brazil
Vasco Azevedo, Universidade Federal de Minas Gerais, Brazil
 
Short Abstract: Corynebacterium pseudotuberculosis is a gram-positive, facultative anaerobic organism and etiological agent of caseous lymphadenitis (CLA), disease that affects mainly sheep and goats. literature indicates the enzyme phospholipase D is involved in the pathogenesis. In this work we aim to propose a three-dimensional model of the structure of PLD from Cp.
 
Poster - M40
Finding new, more efficient beta-glucuronidases in the glycosyl hydrolase family 2 for hydrolysis of morphine-6-glucuronide and codeine-6-glucuronide

Catalina Valdivia, Universidad Andrés Bello, Chile
Daniel Almonacid, Universidad Andrés Bello, Chile
Paullette Arriagada, Universidad Andrés Bello, Chile
Manuel Rozas, Kura Biotec, Chile
 
Short Abstract: Metabolism of xenobiotics involves their conjugation with glucuronic acid. Hydrolysis of the conjugates to detect drugs in biological samples is usually performed using a commercial E. coli enzyme. We aim to find new, more efficient, naturally occurring glucuronidases to hydrolyze conjugates that aren't efficiently processed by the commercially available enzyme.
 

Posters

Poster Presentation List & Schedule

Odd numbers:
Poster set up: Day 1 - all day long
Take down: Day 2 after Poster Session
Size: Up to 90cm width x 120 cm height

Even Numbers:
Poster set up: Day 2 after Poster session and Day 3 until the first coffee break
Take Down: Day 3 after Poster Session
Size: Up to 90cm width x 120 cm height