The Alpha Project - Stepping Towards Predictive Biology Michael B. Gonzales Senior Research Fellow Molecular Sciences Institute Berkeley, CA.

Slides:



Advertisements
Similar presentations
Chapter 11 Cell Communication
Advertisements

Recombinant DNA Technology
BIO 402/502 Advanced Cell & Developmental Biology I
The post-genomic challenge Exploring function across protein families using chemical probes  The CPFM is in early stages of development  Projects focus.
Reception, Transduction, Response
Cell Signaling.
Cell signaling: responding to the outside world Cells interact with their environment by interpreting extracellular signals via proteins that span their.
Enhancing the C-48 STAT3 Inhibitor
CDC42 a low molecular weight GTP-binding protein originally designated G(p) and also called G25K Chromosomal location: 1p36.1 The CDC42 protein binds to.
G-protein linked Plasma membrane receptor. Works with “G-protein”, an intracellular protein with GDP or GTP. Involved in yeast mating factors, epinephrine.
Protein Structure and Drug Discovery Workshop To be held at Monash University, Mebourne, Australia October 3 rd to 4 th 2006 Molecular Visualization Learn.
Predicting Function (& location & post-tln modifications) from Protein Sequences June 15, 2015.
Computational Molecular Biology Biochem 218 – BioMedical Informatics Gene Regulatory.
AP Biology – Ms. Whipple BCHS.  The yeast, Saccharomyces cerevisiae, has two mating types, a and   Cells of different mating types locate each other.
Abstract The pheromone response pathway in S.cerevisiae is regulated on multiple levels and timescales, and by many biochemical mechanisms. In particular,
Mitogen-Activated Protein Kinase Pathway. Mitogen- a compound that encourages a cell to commence division, triggering mitosis Cell division requires the.
Analyzing transcription modules in the pathogenic yeast Candida albicans Elik Chapnik Yoav Amiram Supervisor: Dr. Naama Barkai.
CS 790 – Bioinformatics Introduction and overview.
Engineering a simpler pheromone response pathway Alex Mallet Endy Lab MIT.
Chapter 11: Cell Communication. Essential Knowledge 2.e.2 – Timing and coordination of physiological events are regulated by multiple mechanisms (11.1).
Function first: a powerful approach to post-genomic drug discovery Stephen F. Betz, Susan M. Baxter and Jacquelyn S. Fetrow GeneFormatics Presented by.
Protein Classification II CISC889: Bioinformatics Gang Situ 04/11/2002 Parts of this lecture borrowed from lecture given by Dr. Altman.
Samudrala group - overall research areas CASP6 prediction for T Å C α RMSD for all 70 residues CASP6 prediction for T Å C α RMSD for all.
A two-state homology model of the hERG K + channel: application to ligand binding Ramkumar Rajamani, Brett Tongue, Jian Li, Charles H. Reynolds J & J PRD.
NY Times Molecular Sciences Institute Started in 1996 by Dr. Syndey Brenner (2002 Nobel Prize winner). Opened in Berkeley in Roger Brent,
Cell Communication Chapter 11.  Trillions of cells in multicellular organisms must communicate with each other to coordinate their activities.  In unicellular.
Glycolysis Regualtion
Cell Communication.
Jobs, Careers, Internships, Senior Projects and Research Computer Application Development K-12 education Industrial Training Bioinformatics Validation.
AP Biology Chapter 11 Cell Communication. AP Biology The Cellular “Internet”  Within multicellular organisms, cells must communicate with one another.
How do cells “talk” to each other?
Chapter 11 Cell Communication. LE 11-2 Exchange of mating factors Mating Receptor a   factor a  a factor Yeast cell, mating type a Yeast cell, mating.
The Three Stages of Cell Signaling: A Preview
Cell Signaling How to Get a Message from the outside of the Cell to the inside of the cell.
Development of a Signaling Pathway Map for the FXM Gil Sambrano, Lily Jiang, Madhu Natarajan, Alex Gilman, Adam Arkin University of California San Francisco,
Discovering functional interaction patterns in Protein-Protein Interactions Networks   Authors: Mehmet E Turnalp Tolga Can Presented By: Sandeep Kumar.
You Must Know  3 stages of cell communication Reception, transduction, & response  How G-protein-coupled receptors receive cell signals & start transduction.
CHAPTER 11 CELL COMMUNICATION Copyright © 2002 Pearson Education, Inc., publishing as Benjamin Cummings Section B: Signal Reception and the Initiation.
Surflex: Fully Automatic Flexible Molecular Docking Using a Molecular Similarity-Based Search Engine Ajay N. Jain UCSF Cancer Research Institute and Comprehensive.
COMPUTATIONAL ENGINEERING OF BIONANOSTRUCTURES RAM SAMUDRALA ASSOCIATE PROFESSOR UNIVERSITY OF WASHINGTON How can we design peptides and proteins capable.
Center for Genomic Experimentation and Computation Orna Resnekov Molecular Sciences Institute Berkeley, CA.
By: Jillian Rainville Faculty Sponsor: Linda Hufnagel
Copyright © 2008 Pearson Education, Inc., publishing as Pearson Benjamin Cummings PowerPoint ® Lecture Presentations for Biology Eighth Edition Neil Campbell.
Bio 110 Cell Communication Fotolia. For today Chapter 11 – Pages
2014 Using machine learning to predict binding sites in proteins Jenelle Bray Stanford University October 10, 2014 #GHC
Graduate Research with Bioinformatics Research Mentors Nancy Warter-Perez, ECE Robert Vellanoweth Chem and Biochem Fellow Sean Caonguyen 8/20/08.
SciPy2004 FlexTree Package Yong Zhao The Molecular Graphics Laboratory The Scripps Research Institute,La Jolla,CA for computational biology.
Elon Yariv Graduate student in Prof. Nir Ben-Tal’s lab Department of Biochemistry and Molecular Biology, Tel Aviv University.
BCB 570 Spring Signal Transduction Julie Dickerson Electrical and Computer Engineering.
Molecular Modeling in Drug Discovery: an Overview
TIDEA Target (and Lead) Independent Drug Enhancement Algorithm.
Cell Communication AP Biology Chapter 11. Jot down ideas for communication: You would like to tell your friend across the room about a party that is happening.
Page 1 Computer-aided Drug Design —Profacgen. Page 2 The most fundamental goal in the drug design process is to determine whether a given compound will.
Biological System – Yeast Pheromone Signal Transduction Pathway
Cell Communication (Cell Signaling)
Overview: Cellular Messaging
Ch 11: Cell communication
Cell Communication.
Overview: Cellular Messaging
Chapter 11 Cell Communication.
Molecular Docking Profacgen. The interactions between proteins and other molecules play important roles in various biological processes, including gene.
Cell-to-cell communication is essential for multicellular organisms
Chapter 11 Cell Communication.
Mating in yeast Stressed diploid yeast undergoes meiosis
Reporter: Yu Lun Kuo (D )
Intracellular Signaling
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Presentation transcript:

The Alpha Project - Stepping Towards Predictive Biology Michael B. Gonzales Senior Research Fellow Molecular Sciences Institute Berkeley, CA

molecular sciences institute The Molecular Sciences Institute Founded in 1996 by Nobel Laureate Dr. Sydney Brenner Independent, non-profit research laboratory that combines genomic experimentation and computer modeling Core research activity - The Alpha Project Currently ~20 senior research fellows - molecular biology, physics, chemistry, mathematics

Magritte Goal: To combine genomic and computational research in order to make predictive models of biological systems. molecular sciences institute

The Alpha Project Five-year, multidisciplinary research effort The focus of the Alpha Project is to examine extra/intra-cellular information flow and processing Collaborators include California Institute of Technology, the Massachusetts Institute of Technology, the University of California, Berkeley, University of California, San Francisco and Pacific Northwest National Laboratory.

molecular sciences institute Why baker’s yeast? S. cerevisiae mating provides a level of system description greater than that for almost any other eukaryotic process Alpha pheromone signal pathway is GPCR mediated and analogous to higher eukaryotes Yeast are highly tractable experimentally; facilitating the development of new experimental methods Well-suited to rapid iterative experimental cycles linking new experimentation to new computation

molecular sciences institute a  a factor  factor zygote a/  Sex in the lab

molecular sciences institute Response to Pheromone

molecular sciences institute Ste2 S t e 5 Ste11 Fus3 Ste7MAPK Cascade Ste12 Transcriptional Activation G1 ArrestMorphogenesis, fusion  /GpaI  /Ste4  /Ste18 Ste20 P P P P P The pheromone response pathway

molecular sciences institute Credits Ximena Ares Kirsten Benjamin Roger Brent Ian Burbulis Kirindi Choi Tina Chin Alejandro Colman-Lerner Jay Doane Michael B. Gonzales Andrew Gordon Larry Lok Andrew Mendelsohn Orna Resnekov Eduard Serra David Soergel Kumiko Yamaguchi Richard Yu UCSF Matt Jacobson Brian Shoichet Kevan Shokat UC Berkeley Julie Leary (Chem) Stuart Russell (CS) PNNL Richard Smith (Chem) Robert Maxwell MIT Drew Endy (ex MSI) Ty Thomson (BioEng) Gerry Sussman (CS) Tom Knight (CS) Caltech Shuki Bruck (CS) Sandia NL Steve Plimpton (P, CS) Danny Rintoul (P, CS)

In search of a Gpa1-specific inhibitor

molecular sciences institute Gpa1 Background Key regulatory protein in pheromone signalling pathway Tethered to the plasma membrane via interaction with heptahelical receptor (GPCR) No crystal structure Several good crystallized homologs Rat ~66% ID, 45% Sim, 1.5 Angstroms Divergent insert aa does not include binding site - removal has no effect on activity

molecular sciences institute Gtpase sequence conservation in yeast Gpa1 Splice Gpa1 Gpa2 Sar1 Arf3 Cin4 Arf2 Arf1 Arl1 *Arrows indicate GTP binding residues in Gpa1.

molecular sciences institute Identifying Selective Inhibitor for Gpa1 Evaluate sequence conservation within S. cerevisiae Evaluate crystal structures for homology model building Build/Evaluate homology model Dock small molecules Perform small molecule screen

molecular sciences institute Gpa1 Contact Residues Conserved

molecular sciences institute Gpa1 model based on 1CIP Hinge

molecular sciences institute Gpa1 models with/out cofactors Gold = built with cofactors Aqua = built without cofactors RMSD =

molecular sciences institute Gpa1 with bound GNP

molecular sciences institute Initial screen Screened ~500 molecules from Chembank library (thanks Ilya) Used GTP, GDP, GNP, GTP  S, ATP, ADP as “controls” Glide - standard speed/precision Docked into 2 Gpa1 (spliced) models based on 1CIP 1)Built with Mg cofactor and GNP ligand 2)Built without Mg cofactor and GNP ligand Docked into 1CIP

molecular sciences institute Cofactors play critical role in ligand dock scores Ligand+Cofactors-Cofactors GTP24 GNP192 GDP545 GTP  S417 ATP38 ADP954

molecular sciences institute Gpa1 pocket built with/out cofactors RMSD = 0.159

molecular sciences institute GTP binding poses nearly identical Mg No cofactors With cofactors GTP binding poses in Gpa1 models built with/without cofactors

molecular sciences institute Moving forward Evaluate the use of multiple (homology) models to enhance the rank scores *Dock into multiple representative structures *Perform simple scoring function across all ranked molecules - I.e. average score, energy, etc. Evaluate the impact of cofactors/ligands on homology model docking scores *Build homolgy models of protein with many known ligands (Cdk2) - build with and without cofactors/ligands *dock into several resolved crystal structures as well as homology models

molecular sciences institute Small molecule identification - the old fashioned way Perform small molecule screens on S. cerevisiae in the lab Powerful genetic tools make assay for inhibitor molecules very straightforward molecules can be screened in ~1month