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Seminars, events & talks

Friday, 9th March, 2012, Friday, March 9th 2012; 11:00-12:00,

Computational Biophysics

May the force be with you: Biomolecular Nanomachines and the Dynasome

Proteins are biological nanomachines. Virtually every function in the cell is carried out by proteins – ranging from protein synthesis, ATP synthesis, molecular binding and recognition, selective transport, sensor functions, mechanical stability, and many more. The combined interdisciplinary efforts of the past years have revealed how many of these functions are effected on the molecular level. Computer simulations of the atomistic dynamics play a pivotal role in this enterprise, as they offer both unparalleled temporal and special resolution. With state of the art examples, this talk will the type of questions that can (and cannot) be addressed, its (current) limitations, and how these can be overcome. The examples include aquaporin selectivity, mechanics of F-ATP synthase, flexible recognition by nuclear pore transporters, the mechanical properties of viral capsids, and tRNA translocation through the ribosome."
 

Speaker: Helmut Grübmuller, Max-Planck Institute, Goettingen, Germany

Room Xipre (seminar 173.06-183.01)

Thursday, 8th March, 2012, 11:00

GPCR drug discovery

Structure and age jointly influence rates of protein evolution

What factors determine a protein's rate of evolution are still under debate.  Especially unclear is the relative role of intrinsic factors of present-day proteins versus historical factors such as protein age. Here we study the interplay of structural properties and evolutionary age, as determinants of protein evolutionary rate.  We use a large set of one-to-one orthologs between human and mouse proteins, with mapped PDB structures. We report that previously observed structural correlations also hold within each age group – including relationships between solvent accessibility, designabililty, and evolutionary rates. However, age also plays a crucial role: age modulates the relationship between solvent accessibility and rate, and younger proteins, despite of being less designable, are evolving faster than older proteins. We show that previously reported relationships between age and rate cannot be explained by structural biases among age groups. Finally, we introduce a knowledge-based potential function to study the stability of proteins through large-scale computation. We find that older proteins are more stable for their native structure, and also more robust to mutations, than younger ones.  Our results underscore that several determinants, both intrinsic and historical, can interact to determine rates of protein evolution.

Speaker: Macarena Toll - Biomedical Informatics, GRIB (IMIM - UPF)

Room Aula

Friday, 2nd March, 2012, 11:00 - 12:00

Computational Biophysics

Structure-based drug design: Towards accurate predictions of thermodynamic and kinetic parameters

"The combination of increased availability of structural information, major boosts in computational power and methodological developments is taking structure-based drug discovery to a higher level. I will present the main research lines of the group, focussing on the development of a new type of docking scoring functions and the elucidation of structure-kinetics relationships. Together with new experimental methods, these type of tools will enable the discovery of drugs with more diverse and effective mechanisms of action."

Speaker: XAVIER BARRIL - Universitat Barcelona

Room Seminar Room “Xipre” 173.06 (PRBB 1st floor)

Thursday, 1st March, 2012, 11:00

GPCR drug discovery

Troublemakers in cancer: a tale of usual suspects and novel villains

The expansion of the catalogs of somatic alterations in cancer accelerate as new laboratories release the sequences of cohorts of samples of different tumor types. One of the key challenges posed by this growth is the identification of driver alterations, genes and pathways among all the alterations found in several patients with the same disease. Traditionally, likely driver mutations for instance are identified either by their recurrence or by their impact on protein function. On the other hand, genes and pathways are prioritized according to the recurrence of alterations that they bear in such groups of samples, however this approach have some known limitations. We have developed an approach to improve the capability of known tools to assess the functional impact of somatic mutations, based on  correcting their scores by the baseline tolerance of their bearing proteins. Also, we have developed a method to uncover cancer drivers based on the detection of the bias towards the accumulation of variants with high functional impact across several tumor samples. We present the results of applying this method to several cancer datasets and show that very different pathways to tumorigenesis prevail in each of them.

Speaker: Abel Gonzalez-Perez - Biomedical Informatics, UPF

Room Aula

Thursday, 9th February, 2012, 11:00

Computational RNA Biology

Development and analysis of a chordate and plant orthologous promoter database

Speaker: Endre Sebestyen. Regulatory Genomics Group- GRIB

Room Aula

Friday, 20th January, 2012, 11:00-12:00,

Computational Biophysics

Template Based Protein-Protein Interaction Prediction and Towards Structural Interactomes

Protein–protein interaction networks provide valuable information in understanding of cellular functions and biological processes. Recent advances in high-throughput techniques have resulted in large amount of data on protein-protein interactions and lead to construction of large protein-protein interaction networks. However, these networks lack structural (3D) details of most interactions, and these structural details are the key components usually for understanding the function of proteins. Therefore, integrating structural information into protein networks on the proteome scale is important because it allows prediction of protein function, helps drug discovery and takes steps toward genome-wide structural systems   biology. In this talk, a fast method for structural modeling of protein-protein interactions that combines template-interface-based docking with flexible refinement will be presented. Its application towards building structural protein-interaction networks will be discussed with the examples on p53 interactions and E2-E3  interactions. In addition, how the structural networks can help drug discovery along the line of emerging polypharmacology paradigm will be discussed.

Speaker: Prof. ATTILA GURSOY, College of Engineering, Koc University, Istanbul, Turkey

Room Seminar Room “Xipre” 173.06 (PRBB – 1st floor)

Thursday, 19th January, 2012, 11:00

Evolutionary Genomics

Evolutionary dynamics of short indels in mammalian genomes

Insertions and deletions (indels), together with nucleotide substitutions, are major drivers of sequence evolution. An excess of deletions over insertions in genomic sequences-the so-called deletional bias-has been reported in a wide range of species, including mammals. However, this bias has not been found in the coding sequences of some mammalian species, such as human and mouse. To determine the strength of the deletional bias in mammals, and the influence of mutation and selection, we have quantified indels in both neutrally evolving noncoding sequences and protein-coding sequences, in six mammalian branches: human, macaque, ancestral primate, mouse, rat, and ancestral rodent. The results  indicate that contrary to previous results, the only mammalian branch with a strong deletional bias is the rodent ancestral branch. We estimate that such a bias has resulted in an 2.5% sequence loss of mammalian syntenic region in the ancestor of the mouse and rat. Further, a comparison of coding and noncoding sequences shows that negative selection is acting more strongly against mutations generating amino acid insertions than against mutations resulting in amino acid deletions. The strength of selection against indels is found to be higher in the rodent branches than in the primate branches, consistent with the larger effective population sizes of the rodents.

Speaker: Steve Laurie, Biomedical Informatics, IMIM-UPF

Room Marie Curie

Wednesday, 18th January, 2012, 12:00h

Computational RNA Biology

Understanding RNA through massively parallel sequencing (RNA in the ENCODE project)

The unfolding of the instructions encoded in the genome is triggered by the transcription of DNA into RNA, and the subsequent processing of the resulting primary RNA transcripts into functional mature RNAs. RNA is thus the first phenotype of the genome, mediating all other phenotypic changes at the organism level caused by changes in the DNA sequence. While current technology is too primitive to provide accurate measurements of the RNA content of the cell, the recent development of Massively Parallel Sequencing Instruments has dramatically increased the resolution with which we can monitor cellular RNA. Using these instruments, the ENCODE project has surveyed the RNA content of multiple cell lines and subcellular compartments. The results of these surveys underscore pervasive transcription, as well as great RNA heterogeneity between and within cells. Comparison of RNA surveys with other genome wide epigenetic surveys—such as those of binding sites for Transcription Factors, or of Histone modifications—reveals a very tightly coupling between the different pathways involved in RNA processing, transcription and splicing in particular.

Speaker: Roderic Guigó, CRG

Room Auditorium PRBB

Wednesday, 11th January, 2012, 12:00

GPCR drug discovery

Cracking the cancer code, a bioinformatics journey

Nuria Lopez-Bigas obtained her PhD for work on the molecular causes of hereditary deafness at the group of Xavier Estivill. After a postdoc on computational genomics at the European Bioinformatics Institute (with Christos Ouzounis) and at the CRG (with Roderic Guigó), she established her laboratory at the University Pompeu Fabra in 2006. In 2011 she was appointed ICREA research professor.

Thanks to the advance of genomic technologies it is currently possible to obtain a comprehensive catalog of genomic alterations in cancer cells. However the identification of alterations directly involved in the development of the tumor is challenging. Nuria Lopez-Bigas current research focuses on the development of computational approaches to analyse cancer genomic data with the objective to identify genes and pathways driving tumorigenesis.

Speaker: Nuria López-Bigas, GRIB (IMIM - UPF)

Room Auditorium PRBB

Friday, 18th November, 2011, 11:00-12:00

Computational Biophysics

Protein flexibility in docking with discrete molecular dynamics simulations

The aim of protein-protein docking is to predict how two proteins associate to form a complex. This means determining where will be the interface. This is a complex problem with many degrees of freedom. To reduce the sampling space, in general both proteins are considered to be rigid bodies (rigid docking). This reduces the problem to 6 degrees of freedom (3 for translation and 3 for rotation). The rigid body docking is a rude approach, since the proteins have flexibility and may undergo relevant conformational changes upon binding to the other protein when forming the complex. We have used discrete molecular dynamics (DMD) simulations to include the protein flexibility in docking configurations, and we have improved the predictive power of the method. DMD is a simplified molecular dynamics method much faster than standard MD, specially for systems with less that 10^3 particles.

Speaker: Dr. Agustí Emperador-Institut for Research in Biomedicine (IRB, Barcelona)

Room Seminar Room “Xipre” 173.06 (PRBB – 1st floor)



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