Cringe

29 September 2009

I am spoiled.

I don’t have to collect images using film or kill whales for my haemoglobin samples.

So how do you treat the information from those that were not so lucky? I am referring to older structures that were deposited in the PDB.

For example, here is a link to the electron density server for the structure 1DCL.

The structure was solved to 2.3 A and has a Rvalue of 0.140 (wow!).

According to the EDS server the completeness is at 34.7 %. I have yet to go through the CCP4 uniqueify script and determine if the EDS calculates to 2.0 (highest resolution that the data was deposited) or 2.3 (highest resolution the data was solved), but at first glance the completeness looks to be very low.

The structure contains 9 waters which are over 70 angstroms from the protein. My guess is that these waters were incorrectly placed based on a symmetry neighbour.

The Ramachandran plot indicates nearly 11 % of the structure is comprised of outliers.

4 Tips for iMosflm

28 September 2009

I have a knack for crashing iMosflm, but love its user interface. Here are some tips that should save you time and help you attain the right space group.

Masking the beam stop:
imos mask 4 Tips for iMosflm
1) Select the green box in the image GUI
2) Zoom (using the magnifying glass) left click and drag to desired view
3) Select the arrow and drag the rim of the green circle that appears to your desired size
4) Right click to zoom back out
Note: I often see people using the masking tool (the icon that looks like a mask) for the beam center. The masking tool is best used for the shadow that extends from the beam center.

Selecting Images to Index:
The Grey boxes cannot be selected under the ‘Use’ column
1) Double click on the red circle (under the Search column) and that image will be used in indexing
imos search 4 Tips for iMosflm
Multiple Lattices:
If you suspect multiple lattices this may eliminate a lattice, if it is comprised of weaker reflections.
1) Click on Indexing on the main GUI
2) Adjust the I/sigma cut-off from the default 20 to 40 (or higher): see image for where to adjust
imos sigma 4 Tips for iMosflm
Note: Keep an eye on the number of reflections (want ~400)

Cell Refinement:
Instead of typing in images manually, you can automatically select them
1) Select by clicking on the repeating blue circles
imos cell 4 Tips for iMosflm
2) Select the images that you wish to be included during the cell refinement
imos viscell 4 Tips for iMosflm
Note: You can adjust the view of the selected images are displayed

How to get started with Coot

26 September 2009

The very basics of using Coot for those that have not used this program. I am a big fan of Coot and think if you give it a try then maybe you will be too. This post will cover three basics: 1) opening a PDB file, 2) loading maps, and 3) how to move about using your mouse.

1) Opening a PDB file with Coot
coot openpdb How to get started with Coot
Find your desired PDB file (coordinates) and select it
Tip: Using the Filter option can save a lot of time
coot openpdb2 How to get started with Coot
2) Loading a 2Fo-Fc map
coot openmtz How to get started with Coot
Simply hit ‘Ok’ and you did it!
coot openlyso How to get started with Coot
Here is how to load a Fo-Fc map:
Select (its below the default option) and open with the ‘DEL’ for the phases and amplitudes
coot_openmtz
3) Moving the macromolecule with your mouse
Left click (hold) allows you to rotate the coordinates
Right click (hold) allows you to zoom in (move toward you or right) and out (move away or left)
Center click allows you to center (focus) on an atom

A couple of years ago, I read the book, The E-Myth Revisited What McDonalds Taught me about Running a Lab and have felt that certain aspects of small business could be applied to a crystallography lab. The ideas in this book could be applied in a variety of settings, but this post will focus on a professor in academics.
mcdonalds billions What McDonalds Taught me about Running a Lab
The vision of McDonald’s and your lab maybe different. Well, maybe not, if that cure for malaria ever pans out, you too can add “Billions Served” and your office door.

What is the vision of your lab?
What do you want your lab to accomplish?
Think about it. Be succinct.

What do you need to do to achieve it?

All too often, the clear focus (the project that landed you the position) becomes muddled. In an effort to combat the “I need a paper/funding to get tenure,” you end up trying to do everything yourself. This feeling is justified in that you have the technical abilities to run every aspect of your lab and as the saying goes, “if you want it done right then do it yourself.”

The reason you have an academic position is largely due to your technical skills: purifying protein, running gels, data processing, publishing papers and presenting research.

However, now you have more responsibility than ever before and doing everything becomes overwhelming.

Maintain all your instruments, order all your supplies, purify all your protein, set up all those crystallization experiments, be on department committees, prepare for and teach classes, stay current on literature, review and write papers and of course write grants. You don’t scale. There are 24 hours in a day and if you want a life (ie. family, vacation, volunteer, hobby, etc.) you are going to need help from others.

Lucky, there are two groups to sell your vision too, graduate students and post docs.

So you teach them all the skills that you know and after a couple of years, the older students pass it on to the new students. If you can afford a post-doc then they too can answer questions that would otherwise come to you.

It works, but not well.

The technical skills will only take you so far, two additional components should be added: managing the system and a vision for the future.

The reason that it does not work well is it is like playing the telephone game. Instead a system should be put in place that helps to serve the vision of the lab. Research is largely about doing something novel, but many aspects are repeated over and over again, which led themselves to becoming a system.

For example, the operation of a HPLC can be largely systematized: what column should you use? what is the maximum pressure that the column can withstand? how do you clean the HPLC? what solutions are needed for each column? how to connect the column? what is the appropriate flow rate? what to do if air bubbles get on the column? who gets to use the column when? etc…

If a system were in place that addressed these questions then all of sudden, you have time to focus on your vision of the lab.

What is the role of each person in your lab/system? Here is one possibility:

New students (1-2 years of grad school)
Technical skills:
Basic lab protocol (PPE, cleaning)
Able to understand manuals and protocols
Where everything is
How to make solutions
How to operate equipment (centrifuge, HPLC, set up crystallization trays, etc.)

Limited by how much work he or she can do

Older Students (3-12 years of grad school)
Manager skills:
Schedule equipment usage (such as HPLC, autoclaving tips or incubators)
Learn interpretation of results
Assign tasks such as areas to be cleaned
Orders supplies
Update technical manuals (very detailed, every aspect that you can think of including trouble shooting)

Post Doc
Manager skills:
Learn new techniques, protocols, software and instrumentation
Assist in initial writing of papers and grants
Help review papers
Write papers, new technical and proof read manuals

Limited by how many people they are able to manage

Professor
Visionary skills:
Final editing of papers
Write grants
Hire post docs – bring in graduate students
Departmental obligations
Committees and meetings
How do you develop a better system?
What is the vision of the future?
Where are the opportunities? (collaborations, funding)

Limited by how many people they are able to buy into their vision

This is just an example, if your vision includes you working in the lab because that is your passion then do it!

McDonald’s (Walmart, Starbucks, etc.) have developed a system that scales. I don’t believe that a crystallography lab can be run as hands off as McDonald’s, but I do believe there is room for improvement.

What do you think? How do you feel about the organization of your lab? Could it be improved?

The web-based tool ValLigURL, which is totally pronounced Valley Girl (serious, check the pdf) allows a crystallographer to compare and validate ligands in the PDB.

This server provides a way to examine whether the ligand in a structure has been seen in a particular conformation. The great part is that this server allows you to upload your own structure for a comparison against existing structures. The server takes about a minute to run.

This could be helpful if you are trying to determine whether you have kissing waters, crystallization remnant or your ligand of interest.

The following is a JMOL output (one option) of a search ligand (thick lines) verse the ligand (thin lines) from MSDchem.
pca ValLigURL: ligand structure Comparision and Validation

Finally, the server can be used by structural bioinformaticians to examine conformational diversity and quality for one or more ligands in the PDB. In other words, this server is hella sweet.

Here it is. The ultimate list of protein crystallization resources, including websites, publications, books and databases. The purpose of this list is to provide crystallographers with useful resources related to protein crystallization. The title and author list of some resources have been shortened for ease of viewing.

Websites:
Hampton Research: Crystallization Tips (awesome) and Crystal Growth
Terese Bergfors: Protein Crystallization
Ruppweb.org: How to grow protein crystals
Emerald Biosystems: Crystallization Hits
Molecular Dimensions: Technical Tips
Davidson College: Protein Crystallization
Xtal-protocals: xtal-protocals
Enrico Stura: Crystallization Techniques -scroll down a little
Artem Evdokimov: Xtals.org (good pdf on cryo)
UCLA: Crystallization and Heavy Atom Screening
NYU: Protein Crystallization (pdf)

Publications: (first author: title)
Jancarik: Sparse matrix sampling: a screening method for crystallization of proteins
Mikol: Experimental determination of H2O equilibration rates: hanging drop method [in] crystallization
Whitesides: The origins and the future of microfluidics
Saridakis: Towards a ‘universal’ nucleant for protein crystallization
Kundrot: Which strategy for a protein crystallization project?
Carter: Quantitative Analysis: Characterization and Optimization of Protein Crystal Growth (pg. 572)
Radaev: A survey of protein-protein complex crystallizations (pg. 605)
Anand: An overview on MPD in crystallization and in crystals of biological macromolecules (pdf)
Cudney: Screening and Optimization Strategies for Macromolecular Crystal Growth (pg. 414)
Wooh: Comparison of three commercial sparse-matrix crystallization screens
Pusey: Life in the fast lane for protein crystallization and X-ray crystallography (pdf)
Chayen: Turning protein crystallisation from an art into a science
Hassell: Crystallization of protein-ligand complexes (pdf)
Chayen: Protein crystallization: from purified protein to diffraction-quality crystal
Hasek: Poly(ethylene glycol) interactions with proteins
Bonnete: Interest of the normalized second virial coefficient and interaction potentials for crystallizing large macromolecules (pdf)
Cannone: Crystallization of bFGF-DNA aptamer complexes using a Sparse Matrix designed for protein–nucleic acid complexes (pdf)
D’Arcy: Practical aspects of using the microbatch method in screening conditions for protein crystallization
Izaac: Assessment of a preliminary solubility screen to improve crystallization trials: uncoupling crystal condition searches

Books:
Alexand Mcpherson: Crystallization of Biological Macromolecules Ultimate List of Protein Crystallization Resources (the classic)
Terese Bergfors: Protein Crystallization, Second Edition (IUL Biotechnology Series) Ultimate List of Protein Crystallization Resources
Sylvie Doublie: Preparation and Crystallization of Macromolecules Ultimate List of Protein Crystallization Resources
Larry DeLucas: Membrane Protein Crystallization Ultimate List of Protein Crystallization Resources
Carola Hunte, et al.: Membrane Protein Purification and Crystallization Ultimate List of Protein Crystallization Resources
Naomi E. Chayen : Protein crystallization strategies for structural genomics Ultimate List of Protein Crystallization Resources

Databases:
Biological Macromolecule Crystallization Database (post)
Cryoprotectant Database for Protein Crystals (post)
Marseille Protein Crystallization Database (post)
Surface Entropy Reduction prediction
Membrane Protein DataBank

Tools:
Paul Hubbard: The Crystal Screen Wizard (post)
Hari Jayaram: Gridzilla

Mentioned on P212121.com:
Emerald Biosystems: Crystal card and Plugmaker
Mycrolytic: Crystal Former and SmartScreen

Know of any other helpful resources? Then please feel free to share in the comment section!
Thanks!

Antibody Database: Abysis

19 September 2009

The Abysis database brings together Kabat, IMGT and structural data from the PDB. Users have many search options available to them. The database even allows you to select the format of your search results.

I previously mentioned the IMGT/3Dstructure database which allows for searching related to antibodies. However, if you are just looking for information related to antibodies then this is worth checking out.

The database has three main search functions: basic, sequence, and structural.

1) Basic
antibodybasic Antibody Database: Abysis
2) Sequence
antibodysequence Antibody Database: Abysis
3) Structural
antibodystructure

In Case you Missed It.

17 September 2009

Here are 12 posts that you may have missed.

Scientific Presentation Resources
Most Popular Homology Modeling Servers
Top 5 Lies of Principle Investigators
From Paper to Painful
Easily Make a Movie with PyMOL
10 Ways to Comfort a Crystallographer
Free Crystallographic Space Group Diagrams and Symbols
Microlytic: Crystal Former and SmartScreen
What is RSS?
Top 5 Resources for Membrane Protein 3D Structure
Best Online Introductions to Crystallography
Scientific Research in 10 Simple Rules

Keep up the Important Work

15 September 2009

A topic, linked to a crystallographer that works on it:

1) cancer
2) malaria
3) bioenergy
4) drug resistance
5) materials
6) solar cells
7) enzymology
8) viruses
9) bacteria
10) vaccines

Thanks for the work that you do.

 | Posted by Sean | Categories: Uncategorized | Tagged: , |

Quick answer: hell no.

Here is the equation:
rfactor Is the equation for Rwork/Rfree helpful in a Paper?
Did that help you?
Did you feel that light bulb go on, like YES! Now I know if this structure is good
Thank goodness they mentioned that equation in 6 point font

Yeah, I get that Rfree came out only 17 years ago and some people still haven’t figured out how to use a seat belt on a plane, but seriously, why is this going on?