De novo Protein Design Presented by Alison Fraser, Christine Lee, Pradhuman Jhala, Corban Rivera.

Slides:



Advertisements
Similar presentations
Protein NMR terminology COSY-Correlation spectroscopy Gives experimental details of interaction between hydrogens connected via a covalent bond NOESY-Nuclear.
Advertisements

Protein NMR.
Protein Threading Zhanggroup Overview Background protein structure protein folding and designability Protein threading Current limitations.
Computing Protein Structures from Electron Density Maps: The Missing Loop Problem I. Lotan, H. van den Bedem, A. Beacon and J.C. Latombe.
Structural bioinformatics
Structure Prediction. Tertiary protein structure: protein folding Three main approaches: [1] experimental determination (X-ray crystallography, NMR) [2]
Tertiary protein structure viewing and prediction July 1, 2009 Learning objectives- Learn how to manipulate protein structures with Deep View software.
Protein structure determination. Tertiary protein structure: protein folding Three main approaches: [1] experimental determination (X-ray crystallography,
Structure Prediction. Tertiary protein structure: protein folding Three main approaches: [1] experimental determination (X-ray crystallography, NMR) [2]
Summary Protein design seeks to find amino acid sequences which stably fold into specific 3-D structures. Modeling the inherent flexibility of the protein.
. Protein Structure Prediction [Based on Structural Bioinformatics, section VII]
1 Protein Structure Prediction Reporter: Chia-Chang Wang Date: April 1, 2005.
Molecular modelling / structure prediction (A computational approach to protein structure) Today: Why bother about proteins/prediction Concepts of molecular.
Protein structure determination & prediction. Tertiary protein structure: protein folding Three main approaches: [1] experimental determination (X-ray.
IV. Protein Structure Prediction and Determination Methods of protein structure determination Critical assessment of structure prediction Homology modelling.
Design of a novel globular protein with atomic-level accuracy.
Inverse Kinematics for Molecular World Sadia Malik April 18, 2002 CS 395T U.T. Austin.
Bioinf. Data Analysis & Tools Molecular Simulations & Sampling Techniques117 Jan 2006 Bioinformatics Data Analysis & Tools Molecular simulations & sampling.
Computational Design of Ligand-binding Proteins with High Affinity and Selectivity Liping Xu Literature Report.
Homology Modeling David Shiuan Department of Life Science and Institute of Biotechnology National Dong Hwa University.
Protein Tertiary Structure Prediction
Construyendo modelos 3D de proteinas ‘fold recognition / threading’
Forces and Prediction of Protein Structure Ming-Jing Hwang ( 黃明經 ) Institute of Biomedical Sciences Academia Sinica
Practical session 2b Introduction to 3D Modelling and threading 9:30am-10:00am 3D modeling and threading 10:00am-10:30am Analysis of mutations in MYH6.
Genomics and Personalized Care in Health Systems Lecture 9 RNA and Protein Structure Leming Zhou, PhD School of Health and Rehabilitation Sciences Department.
CRB Journal Club February 13, 2006 Jenny Gu. Selected for a Reason Residues selected by evolution for a reason, but conservation is not distinguished.
Protein “folding” occurs due to the intrinsic chemical/physical properties of the 1° structure “Unstructured” “Disordered” “Denatured” “Unfolded” “Structured”
ProteinShop: A Tool for Protein Structure Prediction and Modeling Silvia Crivelli Computational Research Division Lawrence Berkeley National Laboratory.
Biomolecular Nuclear Magnetic Resonance Spectroscopy BASIC CONCEPTS OF NMR How does NMR work? Resonance assignment Structure determination 01/24/05 NMR.
Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water.
Biomolecular Nuclear Magnetic Resonance Spectroscopy FROM ASSIGNMENT TO STRUCTURE Sequential resonance assignment strategies NMR data for structure determination.
Protein Structure & Modeling Biology 224 Instructor: Tom Peavy Nov 18 & 23, 2009
A Technical Introduction to the MD-OPEP Simulation Tools
Protein Folding and Modeling Carol K. Hall Chemical and Biomolecular Engineering North Carolina State University.
Protein Structure Prediction
Six plasmids for NC5 sample expression and 2D [ 1 H, 15 N] HSQC screening  Rossmann2x3_58: OR25  Rossmann2x3_59: OR26  Rossmann2x3_61: OR27  Rossmann2x3_71:
Protein Structure Prediction: Homology Modeling & Threading/Fold Recognition D. Mohanty NII, New Delhi.
Introduction to Protein Structure Prediction BMI/CS 576 Colin Dewey Fall 2008.
Protein Design with Backbone Optimization Brian Kuhlman University of North Carolina at Chapel Hill.
PROTEIN PHYSICS LECTURE 21 Protein Structures: Kinetic Aspects (3)  Nucleation in the 1-st order phase transitions  Nucleation of protein folding  Solution.
 Six designs (OR25, OR26, OR27, OR28, OR29, OR30) for 2D [ 1 H, 15 N] HSQC screening  OR28 for structure determination Gaohua Liu 1, Nobuyasu Koga 2,
Events in protein folding. Introduction Many proteins take at least a few seconds to fold, but almost all proteins undergo major structural transitions.
BMC Bioinformatics 2005, 6(Suppl 4):S3 Protein Structure Prediction not a trivial matter Strict relation between protein function and structure Gap between.
Structural classification of Proteins SCOP Classification: consists of a database Family Evolutionarily related with a significant sequence identity Superfamily.
CS-ROSETTA Yang Shen et al. Presented by Jonathan Jou.
Mean Field Theory and Mutually Orthogonal Latin Squares in Peptide Structure Prediction N. Gautham Department of Crystallography and Biophysics University.
Lecture 10 CS566 Fall Structural Bioinformatics Motivation Concepts Structure Solving Structure Comparison Structure Prediction Modeling Structural.
Protein Tertiary Structure Prediction Structural Bioinformatics.
Homology 3D modeling Miguel Andrade Mainz, Germany Faculty of Biology,
Protein Structure Prediction and Protein Homology modeling
Computer-Based Redesign of a β Sandwich Protein Suggests that Extensive Negative Design Is Not Required for De Novo β Sheet Design  Xiaozhen Hu, Huanchen.
Determine protein structure from amino acid sequence
Protein dynamics Folding/unfolding dynamics
Can Non-Mechanical Proteins Withstand Force
Molecular Modeling By Rashmi Shrivastava Lecturer
Volume 25, Issue 11, Pages e3 (November 2017)
Volume 108, Issue 3, Pages (February 2015)
Homology Modeling.
Protein structure prediction.
Volume 13, Issue 2, Pages (February 2005)
De Novo Design of Foldable Proteins with Smooth Folding Funnel
謝孫源 (Sun-Yuan Hsieh) 成功大學 電機資訊學院 資訊工程系
Increased Reliability of Nuclear Magnetic Resonance Protein Structures by Consensus Structure Bundles  Lena Buchner, Peter Güntert  Structure  Volume.
by T. M. Jacobs, B. Williams, T. Williams, X. Xu, A. Eletsky, J. F
Volume 20, Issue 3, Pages (March 2012)
Ligand Binding to the Voltage-Gated Kv1
Structural Basis for the Recognition of Methylated Histone H3K36 by the Eaf3 Subunit of Histone Deacetylase Complex Rpd3S  Chao Xu, Gaofeng Cui, Maria.
Volume 20, Issue 6, Pages (June 2012)
Volume 106, Issue 4, Pages (February 2014)
Untangling the Influence of a Protein Knot on Folding
Presentation transcript:

de novo Protein Design Presented by Alison Fraser, Christine Lee, Pradhuman Jhala, Corban Rivera

Outline Introduction Introduction Computational methods used for sequence and structure Computational methods used for sequence and structure Biophysical and structural characteristics of novel protein Biophysical and structural characteristics of novel protein Conclusion Conclusion

Introduction Number of protein folds Number of protein folds Computational methods for identifying amino acid sequences compatible with target structure – not for protein creation Computational methods for identifying amino acid sequences compatible with target structure – not for protein creation Side Chains as Templates Side Chains as Templates New protein design => more rigorous test of current force fields and optimization methodology than redesign of naturally occurring proteins New protein design => more rigorous test of current force fields and optimization methodology than redesign of naturally occurring proteins

Introduction (continued) Search of nearby conformational space and sequence space Search of nearby conformational space and sequence space 2 methods of protein redesign (variation of backbone conformation and amino acid sequence) 2 methods of protein redesign (variation of backbone conformation and amino acid sequence) Development of procedure for identifying low free energy sequence-structure pairs that iterates between sequence optimization and structure prediction Development of procedure for identifying low free energy sequence-structure pairs that iterates between sequence optimization and structure prediction Result: 93 residue protein with topology not in PDB Result: 93 residue protein with topology not in PDB

Structure to Sequence RosettaDesign predicts a amino acid sequence from a desired structure. RosettaDesign predicts a amino acid sequence from a desired structure. Input and Output Input and Output Input a structure you would like to create Input a structure you would like to create Output a amino acid sequence that will produce the structure with low free energy Output a amino acid sequence that will produce the structure with low free energy

Sequence to Structure RosettaDesign is used to predict protein structure from protein residue sequence. RosettaDesign is used to predict protein structure from protein residue sequence. Input and Output Input and Output Input Amino Acid sequence Input Amino Acid sequence Output a Predicted near minimum free energy structure Output a Predicted near minimum free energy structure

How does Top7 compare to proteins in nature? Folding Folding Stability Stability Structure Structure

Stability Thermally stable Thermally stable CD Spectrum at 98˚C is nearly indistinguishable from that at 25˚C CD Spectrum at 98˚C is nearly indistinguishable from that at 25˚C

Folding of Top7 At intermediate concentrations (~5 M) of guanidine hydrochloride (GuHCl) Top7 unfolds cooperatively At intermediate concentrations (~5 M) of guanidine hydrochloride (GuHCl) Top7 unfolds cooperatively Steep transition in chemical denaturation is characteristic of the two- state unfolding expected for small, two-state, monomeric single-domain protein Steep transition in chemical denaturation is characteristic of the two- state unfolding expected for small, two-state, monomeric single-domain protein

Structure Nuclear Overhauser effect spectroscopy (NOESY) and heteronuclear single quantum coherence (HSQC) exhibit features characteristic of protein with substantial beta-sheet content Nuclear Overhauser effect spectroscopy (NOESY) and heteronuclear single quantum coherence (HSQC) exhibit features characteristic of protein with substantial beta-sheet content

Comparing Top7 to model Crystallization Crystallization Top7 yielded crystals that diffracted to 2.5 Å Top7 yielded crystals that diffracted to 2.5 Å Strong molecular replacement (MR) solution to phase problem Strong molecular replacement (MR) solution to phase problem This suggest design model very close to true structure This suggest design model very close to true structure Top7 crystal like the model was also judged to be a novel topology by TOPS server Top7 crystal like the model was also judged to be a novel topology by TOPS server

Comparison of model (blue) and the solved x-ray structure (red)

Implications Atomic Level Accuracy (RMSD = 1.17 o A) in de novo Protein Design Atomic Level Accuracy (RMSD = 1.17 o A) in de novo Protein Design Validation of Accuracy of Potential Functions Validation of Accuracy of Potential Functions

Reasons Optimization of Sequence and Structure Optimization of Sequence and Structure No Functional Constraints No Functional Constraints Extensive Optimization Extensive Optimization No kinetics No kinetics

Possible Future Impacts Synthetic proteins Synthetic proteins Protein Therapeutics and Molecular Mechanics Protein Therapeutics and Molecular Mechanics