Computational Biophysics Workshop - Urbana, Nov. 1-5, 2010
'Hands-On' Workshop on Computational Biophysics, Urbana, Illinois
Lectures and Tutorials Eavaluation
November 1-5, 2010
Questionnaire: Klaus Schulten, TCB Group,
UIUC, and modified by David Brandon, TCB Group, UIUC
Analysis and report: David
Brandon, TCB group, UIUC
The UIUC's Theoretical and Computational Biophysics Group (TCBG), the NIH Resource for Macromolecular Modeling and Bioinformatics is headed by Klaus Schulten, and Co-PIs Z. Luthey-Schulten, L. Kale, E. Tajkhorshid, and A. Aksimentiev.  As part of its outreach, the Resource offers workshops to introduce and transfer its programs and technological solutions to the biomedical community.  The Resource organized a one-week (November 1-5, 2010) workshop using grant funds from the National Center for Research Resources.
The program of the workshop consisted of lectures and hands-on sessions. Workshop lectures were given by K. Schulten (UIUC), Z. Schulten (UIUC), E. Tajkhorshid (UIUC), and C. Chipot (UIUC, CNRS). Teaching assistants helped participants during the hands-on tutorial sessions. At the end of each day of the workshop participants were asked to evaluate the workshop's lectures and tutorials, via forms customized for each day; a copy of the forms used is available here.
Summaries for the lectures and tutorials are comprised of two elements, 1) the proportion rating the relevance of the lecture or tutorial as highly relevant (i.e. 'very good' + 'excellent' ratings; see Table 1: Summary of Relevance Statistics below), and 2) select comments considered illustrative of respondent opinion. As is frequently the case with surveys, not all respondents answered all questions; the number of responses for the relevance ratings (r=) and comments (c=) are listed next to the name of each lecture and tutorial summary, e.g. (N: r=34, c=8).
Some issues to consider when reading the comments:
- Written comments, particularly when comments are extreme in one direction or the other, tend to stick in one's head more so than statistics that may present a more accurate summary of opinion.
- There aren't enough comments to provide a sample size that can be considered representative of the entire workshop population; e.g. for one tutorial there are three comments. Further, those responding are self-selected, i.e. those who went through with completing the evaluation form may or may not be representative of a 'typical' attendee.
- Attendees appear to have been somewhat heterogeneous in scientific background, training, interests, and to an extent language; so, for any lecture or tutorial there was likely always someone new to the topic who needed more time, help and explanation, and at the same time someone very experienced who wanted more breadth and/or depth on the topic.
Summaries are organized below by day, lecture, and tutorial, and can be located using the navigation table below or by scrolling down the page.
Day 1 Lecture: Introduction to Protein Structure and Dynamics - K. Schulten(N: r=23, c=22)
All respondents, 100%, rated the lecture as highly relevant. Sample comments are:- Really enjoyed the experience. Came here because of a friend’s recommendation. He was a participant last year, will definitely tell everyone how good it was
- My expertise lies in the area of experimental biology. Though I m familiar with looking at MD simulation date I have never used VMD or set up any simulations before today. I found the VMD & MD lecture very informative. Both talks were very clear and catered to my needs.
Day 1 Tutorial: Using VMD; NAMD Tutorial (N: r=22, c=23)
A majority of participants, 91%, found the tutorial content highly relevant. Sample comments are:- Using VMD tutorial, great introduction to creating images, movies, and nice overview of analysis methods.
- I worked on both. I felt that it was helpful to be able to work o the tutorials in an environment where we could ask questions yet were independently figuring out our own instead of listening to teachers.
Day 2 Lecture 1: Analysis of Equilibrium and Non-equilibrium Properties of Proteins with NAMD - K. Schulten (N: r=20, c=13)
All respondents, 100%, rated the lecture as highly relevant. Sample comments are: A majority of participants, 75%, found the lecture highly relevant. Sample comments are: Day
2 Tutorial: NAMD Tutorial & Stetching Deca-Alanine; or,
Expert NAMD Set; or Free Energy Set
(N: r=24, c=22) Most of those responding, 83%, rated the
tutorial relevance as very
high. Sample comments are: Day 3
Day 3 Lecture: Introduction to Bioinformatics - Z. Luthey Schulten (N: r=15, c=13)
A majority of participants, 87%, rated the relevance of the lecture as very high. Sample comments are:
Day 3 Tutorials: Basic Sequence Analysis; or, Expert Sequence Analysis; or, work on own projects (N: r=12, c=12)
The relevance of the tutorial was high, with 83% of participants rating tutorial relevance as very good to excellent. Sample comments are: Day 4 Lecture: Molecular Dynamics of Cellular Processes - E. Tajkhorshid (N: r=20, c=16)
Of those responding, 95% rated the lecture as highly relevant to their interests. Sample comments are: Day 4 Tutorials: Parameterization; Topology Files (N: r=22, c=23)
All participants - 100% - found these tutorials as highly relevant. Sample comments are: Day 5
Day 5 Lecture: Simulating Membrane Channels - E. Tajkhorshid (N: r=21, c=17)
Nearly all participants, 95% rated the lecture as highly relevant to their interests. Sample comments are: All participants - 100% - found these tutorials as highly relevant. Sample comments are: The complete set of comments is
available by e-mailing brandon@ks.uiuc.edu. Table 1: Summary of
Relevance Statistics
Day 2 Lecture 2: Good Practices in Free-Energy Calculations - C. Chipot (N: r=20, c=13)
Day 5 Tutorial: Membrane Proteins Tutorial; or, Expert NAMD Set; or, Free Energy Set (N: r=20, c=13)
Poor
Fair
Good
Very
Good
Excellent
N
%
%
%
%
%
Day 1 Lecture: Introduction
to Protein Structure and Dynamics
23
0
0
0
35
65
Day 1 Tutorial: Using VMD; NAMD Tutorial
22
0
0
9
41
50
Day 2 Lecture 1: Analysis of Equilibrium and Non-equilibrium Properties of Proteins with NAMD
20
0
0
0
35
64
Day 2 Lecture 2: Good Practices in Free-Energy Calculations
20
0
10
15
30
45
Day 2 Tutorial: NAMD Tutorial & Stetching Deca-Alanine;
or, Expert NAMD Set; or, Free Energy Set18
0
0
11
39
50
Day 3 Lecture: Parameters for Classical Force Fields
15
7
0
7
40
47
Day 3 Tutorials: Parameterizing a Novel Residue;
Topology File
Tutorial; Stretching Deca-alanine Tutorial12
0
0
8
42
42
Day 4 Lecture: Simulating Membrane Channels
20
0
0
5
25
70
Day 4 Tutorials: Membrane Proteins Tutorial; Simulation
of Waterbr>
PPermeation Through Nanotubes
22
0
0
0
23
77
Day 5 Lecture: Introduction to Bioinformatics
21
0
0
5
0
95
Day 5 Tutorials: Evolution of Translation Tutorials:
Class I br>
Aminoacyl-tRNA Synthetase; Elongation Factor Tu; tRNA
and the
RRibosome; or, Bioinformatics of Aquaporins
20
0
0
0
15
85