Anna MARABOTTI | ADVANCED BIOCHEMISTRY
Anna MARABOTTI ADVANCED BIOCHEMISTRY
cod. 0522100020
ADVANCED BIOCHEMISTRY
| 0522100020 | |
| DEPARTMENT OF CHEMISTRY AND BIOLOGY "ADOLFO ZAMBELLI" | |
| EQF7 | |
| BIOLOGY | |
| 2016/2017 |
| OBBLIGATORIO | |
| YEAR OF COURSE 2 | |
| YEAR OF DIDACTIC SYSTEM 2009 | |
| PRIMO SEMESTRE |
| SSD | CFU | HOURS | ACTIVITY | |
|---|---|---|---|---|
| BIO/10 | 4 | 32 | LESSONS | |
| BIO/10 | 2 | 24 | LAB |
| Objectives | |
|---|---|
| KNOWLEDGE AND UNDERSTANDING: THE TEACHING, REFERRED TO THE BIOMOLECULAR FIELD, AIMS TO INTRODUCE STUDENTS TO THE PROBLEMS OF THE STUDY OF PROTEINS AND COMPLEXES BETWEEN PROTEINS AND OTHER BIOLOGICAL MACROMOLECULES, BOTH AT THE ATOMIC LEVEL AND AT THE MOLECULAR LEVEL, IN ORDER TO UNDERSTAND HOW THIS KNOWLEDGE CAN BE USED FOR THE STUDY OF COMPLEX BIOLOGICAL SYSTEMS. THE REPORT OUTLINES THE MAIN COMPUTATIONAL AND EXPERIMENTAL TECHNIQUES APPROPRIATE TO ACQUIRE SUCH SKILLS. THE STUDENT WILL THUS UNDERSTAND THE COMPLEXITY AND THE INTERDISCIPLINARY NATURE OF THIS TYPE OF RESEARCH, AND THE POTENTIAL KNOWLEDGE RESULTING FROM THESE STUDIES. APPLYING KNOWLEDGE AND UNDERSTANDING: AT THE END OF THE COURSE, THE STUDENT WILL BE ABLE TO ANALYZE THE INFORMATION ON PROTEINS, AND TO UNDERSTAND THE FUNDAMENTALS AND STRATEGIES THAT HAVE LED TO THE OBTAINING OF THE EXPERIMENTAL RESULT. HE WILL ALSO BE ABLE TO KNOW THE LIMITATIONS OF EACH TECHNIQUE PRESENTED (WITH A PARTICULAR FOCUS ON COMPUTATIONAL TECHNIQUES) AND TO ASSESS WHICH KNOWLEDGE IS OBTAINABLE FROM EACH APPROACH. HE WILL ALSO BE ABLE TO UNDERSTAND HOW TO DERIVE OTHER INFORMATION FROM THIS KNOWLEDGE, IN ORDER TO UNDERSTAND THE WORKINGS OF LIVING BEINGS AT THE MACROSCOPIC LEVEL. |
| Prerequisites | |
|---|---|
| BIOCHEMISTRY, IN PARTICULAR, KNOWLEDGE OF THE STRUCTURAL ELEMENTS OF THE PROTEINS. |
| Contents | |
|---|---|
| - PROTEINS: DETAILS ON THEIR DIFFERENT LEVELS OF STRUCTURE. - THE STRUCTURAL BASIS OF PROTEIN FUNCTIONS: FLEXIBILITY, ACTIVE SITES, TRANSITION STATES - THE CONTROL OF PROTEIN FUNCTIONS: REGULATION OF THE ACTIVITY AS A RESULT OF ENVIRONMENTAL CHANGES, ACTIVITY OF EFFECTORS, POST-TRANSLATIONAL MODIFICATIONS, DEGRADATION - CHAMELEON AND MOONLIGHTING PROTEINS - METHODS FOR THE STUDY OF PROTEINS WITH "IN SILICO" APPROACHES: APPLICATIONS OF ALGORITHMS FOR PAIRWISE/MULTIPLE ALIGNMENT, PREDICTION OF STRUCTURAL AND FUNCTIONAL PROPERTIES OF PROTEINS WITH PROFILES, MODELLING OF PROTEIN STRUCTURE WITH COMPUTATIONAL APPROACHES (TEMPLATE-BASED AND TEMPLATE-FREE). - METHODS FOR THE VALIDATION OF PROTEIN STRUCTURES, OBTAINED BOTH EXPERIMENTALLY AND WITH COMPUTATIONAL APPROACHES - MOLECULAR MECHANICS: FORCE FIELD, MINIMIZATION, MOLECULAR DYNAMICS, SIMULATED ANNEALING - DOCKING PROTEIN/PROTEIN AND PROTEIN/LIGAND - COMPUTER LAB EXERCISES ON SELECTED TOPICS OF THE COURSE |
| Teaching Methods | |
|---|---|
| THE TEACHING INCLUDES ESSENTIALLY LECTURES, WITH THE USE OF SLIDES AND OF MULTIMEDIA MATERIAL DIRECTLY ACCESSED VIA THE WEB, FOR 4 CFU (32 HOURS). MOREOVER, 2 CFU (24 HOURS) OF THE TEACHING WILL BE DEDICATED TO SOME EXERCISES RELATING TO PARTICULAR TOPICS, AND SOME ADDITIONAL SEMINARS. |
| Verification of learning | |
|---|---|
| THE FINAL EXAM WILL CONSIST IN AN INTEGRATED THEORY-PRACTICE TEST IN WHICH THE STUDENT WILL BE REQUIRED NOT ONLY TO DISCUSS ISSUES CONCERNING THEORETICAL KNOWLEDGE, BUT ALSO TO APPLY THIS KNOWLEDGE AND UNDERSTANDING OF THE COMPUTATIONAL TECHNIQUES ACQUIRED DURING THE COURSE FOR A SPECIFIC PROBLEM PREVIOUSLY AGREED WITH THE TEACHER. THE FINAL VOTE WILL TAKE INTO ACCOUNT OF THEORETICAL KNOWLEDGE FOR A CONTRIBUTION OF 70% AND OF ITS PRACTICAL APPLICATION FOR A CONTRIBUTION OF 30%. |
| Texts | |
|---|---|
| ESSENTIAL TEXTS: SLIDES OF THE TEACHER OTHER TEXT FOR CONSULTATION: PETSKO G, RINGE D: “STRUTTURA E FUNZIONE DELLE PROTEINE”, ZANICHELLI PASCARELLA S, PAIARDINI A: “BIOINFORMATICA. DALLA SEQUENZA ALLA STRUTTURA DELLE PROTEINE”, ZANICHELLI WILLIAMSON M: "COME FUNZIONANO LE PROTEINE", ZANICHELLI SCIENTIFIC ARTICLES GIVEN DIRECTLY BY THE TEACHER |
| More Information | |
|---|---|
| THE REGULAR ATTENDANCE AT LECTURES IS STRONGLY RECOMMENDED |
BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2019-03-11]
