IDENTIFYING DATA 2016_17
Subject (*) CHEMOINFORMATICS APPLIED TO NUTRITIONAL RESEARCH Code 20705221
Study programme
Nanoscience, Materials and Processes: Chemical Technology at the Frontier
Cycle 2nd
Descriptors Credits Type Year Period
3 Optional AN
Language
Anglès
Department Biochemistry and Biotechnology
Coordinator
PUJADAS ANGUIANO, GERARD
E-mail gerard.pujadas@urv.cat
Lecturers
PUJADAS ANGUIANO, GERARD
Web http://moodle.urv.cat
General description and relevant information The objective of this subject is to provide the theoretical and practical foundations to apply basic techniques of bio and cheminformatics research in nutrition.

Competences
Type A Code Competences Specific
 A1.1 A1.1. Successfully studying and learning about the chosen research ambit: evaluating the technical and scientific importance, the technological potential and the viability of the nanoscience, design, preparation, properties, processes, developments, techniques and applications of materials.
 A2.2 A2.2. Critically evaluating the results of research in the field of nanotechnology, materials and products and process design.
Type B Code Competences Transversal
 B4.1 B4.1. Continuously learning.
 B5.3 B5.3. Applying critical, logical and creative thought in a research and innovative context.
Type C Code Competences Nuclear
 C1.1 Have an intermediate mastery of a foreign language, preferably English

Learning outcomes
Type A Code Learning outcomes
 A1.1 A1.1 Can identify and use the databases and computer programmes that are useful for research into nutrition.
 A2.2 A2.2 Are familiar with the main bioinformatic techniques and can use them for research into nutrition.
Type B Code Learning outcomes
 B4.1 B4.1 Autonomously adopt the appropriate learning strategies in every situation.
B4.1 Set their own learning objectives.
 B5.3 B5.3 Follow a logical method for identifying the causes of a problem.
Type C Code Learning outcomes
 C1.1 Express opinions on abstract or cultural topics in a limited fashion.
Explain and justify briefly their opinions and projects.
Understand instructions about classes or tasks assigned by the teaching staff.
Understand routine information and articles.
Understand the general meaning of texts that have non-routine information in a familiar subject area.
Write letters or take notes about foreseeable, familiar matters.

Contents
Topic Sub-topic
1. Protein and nucleic acids sequence analysis
2. Protein and nucleic acids structure analysis
3. Bioactivity prediction of compounds - Small molecules databases of nutritional interest.
- Virtual screening.

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
2 0 2
Lecture
A1.1
9 18 27
Seminars
B4.1
10 20 30
Assignments
C1.1
2 12 14
Personal tuition
2 0 2
 
Objective short-answer tests
B5.3
2 0 2
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Efforts to make contact and gather information from the students. Presentation of the subject.
Lecture Description of the content of the course.
Seminars Working depth of a topic (issue). Expansion and relationship content given in the master classes with professional to do.
Assignments Working depth of a topic (issue). Expansion and relationship content given in the master classes with professional to do.
Personal tuition Time that each teacher has booked to attend and answer questions to students.

Personalized attention
Description
It has an email list where the student may address their concerns by sending an email to the address quimioinformatica.recerca-nutricio@estudiants.urv.cat. Your question will be distributed among all members of the discussion list (students and teachers of this subject). Any member of this list can answer the question so that the answer also goes to other members.

Assessment
Methodologies Competences Description Weight        
Assignments
C1.1
Individual exercises or practical work to demonstrate that the student is able to apply to the resolution of a specific problem the theoretical foundations of the subject is made. 50%
Objective short-answer tests
B5.3
Short questions that demonstrate the level of understanding and assimilation by the student of theoretical explanations by the teacher. 50%
Others  
 
Other comments and second exam session

Students who have not passed the subject, may be submitted to the 2nd call. The center will determine the testing schedule in which the corresponding diffusion will.

The evaluation of the second call and note the weight of the work has been obtained in the first round will continue.

During the evaluation tests, mobile phones, tablets and other devices that are not expressly approved by the test, must be off and out of sight.

The demonstratively fraudulent conduct of any evaluation activity of a subject in material and virtual and electronic support entails the student's failing grade for this assessment activity. Regardless of this, given the gravity of the facts, the center may propose the initiation of disciplinary proceedings, which will be initiated by resolution of the rector.


Sources of information

Basic Thomas Lengauer , Bioinformatics : from genomes to drugs, , 2004

Complementary

Recommendations


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.