
Biomolecular Simulation
Code: 102517Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Chemistry | OP | 4 |
Contact lecturer
- Name :
- Jean-Didier Pierre Marechal
- Email :
- jeandidier.marechal@uab.cat
Teaching staff
- Àngels Gonzalez Lafont
Group languages
You can consult this information at the end of the document.
Prerequisites
Chemical Thermodynamics and Kinetics (Fonaments Química 2 i Termodinàmica i Cinètica)
Quantum Chemistry
Previous background in Biochemistry is not essential.
Objectives
This course has as main objective to introduce students to the basic principles of biomolecular simulations that allow the interpretation at the atomic level of how biological processes take place and of the biomedical and biotechnological applications of biomolecules (drugs, nanoparticles, vaccines...).
Biomolecular simulations are based on the molecular modeling of the biological system or biomolecule of interest.
This modeling involves a series of steps that will be explained in this course both theoretically and in practices, in a balanced equilibrium between concepts, physical equations and on-hands lab:
1) Calculation of the energy of the system as a function of the coordinates (3D structure) of its atoms and molecules by means of Molecular Mechanics and Quantum Mechanics methods;
2) Study of the computational techniques that allow to determine how the energy of the system varies according to its coordinates:
a) Docking techniques;
b) Techniques to minimize the energy;
c) Molecular Dynamics simulations;
d) Methods to calculate free energies.
These different methodologies will be used to study basic biological aspects of biomolecules, as well as in applications for drug design and the study of enzymatic catalysis.
Learning outcomes
- Communicate orally and in writing in one's own language.
- Manage the organisation and planning of tasks.
- Resolve problems and make decisions.
- Obtain information, including by digital means.
- Manage, analyse and synthesise information.
- Use IT to treat and present information.
- Work in a team and show concern for interpersonal relations at work.
- Reason in a critical manner
- Learn autonomously.
- Adapt to new situations.
- Propose creative ideas and solutions.
- Show initiative and an enterprising spirit.
- Show sensitivity for environmental issues.
- Use the basic methodology of quantum chemistry and molecular mechanics.
- Distinguish between the computational methods applied to biomolecules.
- Use basic computer simulation.
- Recognise the bases of operating systems and computer language.
- Propose condensed phase simulations.
- Produce simulations of protein-ligand interactions.
- Analyse molecular dynamics trajectories.
- Determine the structural and energetic changes associated to the pathway of a chemical reaction.
- Visualise biomolecules and certain structural properties by means of display programs.
Contents
BIOMOLECULAR SIMULATIONS
1. Introduction to molecular modeling of biomolecules.
2. Biomolecules: structure and function. An overview.
3. Molecular mechanics methods for the calculation of the energy.
4. Conformational exploration in biomolecules.
5. Protein-ligand interaction: Docking techniques and drug design.
6. Simulation methods: Molecular Dynamics.
7. Hybrid QM/MM methods for the calculation of the potential energy.
8. Calculations of free energy differences.
9. Enzymatic catalysis: mechanisms and reaction rate.
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Quizz/Practical reports/Assigned deliverable tasks | 14 | 0.56 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 |
| Practical sessions | 18 | 0.72 | 2, 3, 5, 6, 8, 14, 15, 16, 17, 18, 19, 20, 22 |
| Tutoring | 2 | 0.08 | 2, 5 |
| Study | 70 | 2.8 | 2, 3, 4, 5, 8, 9, 10, 14, 15, 16, 17, 18, 19, 20, 21 |
| Theoretical lectures | 34 | 1.36 | 14, 15, 16, 17, 18, 19, 20, 21, 22 |
| Bibliographic serach | 2 | 0.08 | 4, 5 |
The subject BIOMOLECULAR SIMULATIONS is an optional subject of 6 ECTS belonging to the specialization in BIOLOGICAL CHEMISTRY but it can also be coursed outside this particular specialization.
The teaching methodology of the subject consists on theoretical lecturers in the classroom and practical sessions in the computer room supervised by the professor in charge. Theoretical and practical classes are completed with tutoring hours supervised by teachers in order to resolve doubts. The student must work autonomously on the theoretical contents and the questions posed by the professors in the face-to-face sessions, in the realization of the practices, and in the elaboration of the works of the asignatura that will entail a part of bibliographical research.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Assessment activities | 30% | 4 | 0.16 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 |
| Exams | 70% | 6 | 0.24 | 1, 2, 3, 5, 6, 8, 9, 10, 11, 12, 14, 15 |
The course is divided into two clearly defined parts (1 and 2), corresponding to the first and second halves of the semester. They will be assessed independently.
The standard assessment system for this course consists of continuous assessment activities, including follow-up assignments and midterm exams. Students may also request to be assessed through a single final evaluation if they wish.
CONTINUOUS ASSESSMENT
Under this assessment method, the weighting of each type of activity is as follows:
Exams (70%)
Two midterm exams covering the course content will be held:
- Midterm 1 (P1): 35%
- Midterm 2 (P2): 35%
Follow-up Activities (30%)
Throughout the course, two sets of follow-up activities (S1 and S2) will be carried out (quizzes, lab reports, assignments), which will serve as evidence of the student's individual work. These activities cannot be retaken.
GRADING
To pass the course during the semester, the following three conditions must all be met:
- The grade for each midterm exam (NP1 and NP2) must be 5.0 or higher.
- The Final Course Grade must be 5.0 or higher, calculated as:
- Attendance at all laboratory/practical sessions is required, and any required lab report must be submitted. Participation in practical sessions is mandatory.
If the minimum requirements under points 1 and/or 2 are not met, one or both midterm exams may be retaken at the end of the semester. The grade obtained in the retake exam will replace the original grade.
To be eligible for a retake, a student must have previously been assessed in activities accounting for at least two-thirds of the total course grade. Therefore, it is not possible to retake a midterm exam that was not originally taken.
If a student has only been assessed in activities worth at most 25% of the total grade and then withdraws, the final grade will be recorded as Not Assessed (NO AVALUABLE).
SINGLE FINAL ASSESSMENT
Students who opt for the single final assessment must take a final exam covering the entire course syllabus. Practical sessions remain mandatory, and their grades will count toward the final assessment.
The single final assessment exam will be held on the same day that students following the continuous assessment system take the second midterm exam.
The student's final grade will be calculated as follows:
Both the final exam grade and the practical work grade must be 5.0 or higher.
If the final grade is below 5.0, the student will have another opportunity to pass the course through a resit exam held on the date established by the degree program coordination. In this exam, students may recover the 80% corresponding to the theoretical component. The practical component cannot be retaken.
Without prejudice to any other disciplinary measures that may be considered appropriate, any student who commits irregularities that could affect the grading of an assessment activity will receive a grade of zero for that activity. Therefore, copying, plagiarism, cheating, allowing others to copy, or similar misconduct in any assessment activity will result in a grade of zero.
Use of AI Tools
In this course, the use of AI tools is permitted only in a restricted manner. Students are informed of the importance of clearly understanding the rules described below, as inappropriate use of these tools may have serious consequences and, in cases of academic fraud, may lead to failure of the course.
For this course, Artificial Intelligence (AI) technologies may be used exclusively for support tasks, such as:
- Bibliographic or information searches
- Text proofreading and editing
- Translation
- Developing proficiency in the use of modeling tools
- Practicing concepts developed during the course
During in-person quizzes and examinations, the use of AI tools is strictly prohibited.
For non-attendance-based activities, such as the preparation of lab reports, AI use is permitted only within the limits described above. However, students must:
- Clearly identify which parts were generated using AI technology.
- Specify the AI tools that were used.
- Include a critical reflection on how these tools influenced both the process and the final outcome of the activity.
Failure to disclose the use of AI in an assessed activity will be considered a breach of academic integrity and may result in a partial or total grade penalty for the activity, or more serious sanctions in severe cases.
Bibliography
1) Introduction to Computational Chemistry. Frank Jensen. ISBN: 0470011874JohnWiley § Sons Ltd. (2007). (Electronic document availabale at the UAB Library Services)
2) Essentials of Computational Chemistry: Theories and Models. Cristopher J. Cramer. ISBN: 0470091827. JohnWiley § Sons Ltd. (2004). (Electronic and printed documend availabble at the UAB Library Services)
3) Molecular Modelling. Principles and Applications. Andrew R Leach. ISBN: 978-0-582-38210-7. Pearson (2001). (Printed documend availabble from the UAB Library Services)
Software
USCF Chimera
Autodock Vina
CHARMM-GUI (web interface)
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 1 | Catalan | first semester | morning-mixed |
| (PLAB) Practical laboratories | 1 | Catalan | first semester | morning-mixed |