The course will show the relevance of chemioinformatics in chemical research. Although chemioinformatics methods are mainly applied in the chemical-pharmaceutical field, the student will be sensitized to the possibility of applying such methodologies to various fields of chemistry.
The course should allow the student to acquire the following basic knowledge:
Know the definition of chemioinformatics and its historical evolution;
Understand the importance of chemioinformatics in various chemical research fields, with particular attention to drug discovery procedures.
Know the economic aspects of chemioinformatics, which allows to reduce the cost of the survey.
Know the basics of chemioinformatics.
Know the basics of drug metabolism and the methods associated with that research field.
Know chemioinformatics methodologies to be applied to the study of drug human metabolism.

This course aims at providing the concepts for the application of the physical organic chemistry to drug discovery. In particular, the main physical chemical and ADME properties of drugs or potential drugs will be discussed, to learn how to modulate them through the modulation of their chemical structure.

Main knowledge acquired will be:

1) Basic concepts of the drug discovery and drug development processes

2) Knowledge of the main aspects of absorption, distribution, metabolism, excretion and toxicity (ADMET) of drugs

3) Knowledge of experimental and in silico methods for the determination of acid-base properties, lipophilicity, permeability and solubility

4) Knowledge of the main chemical strategies for ADME optimization

5) Knowledge of methods for structure-activity relationship studies

Understand the basic principles of designing drugs and classical methods associated with this field of research.
Know chemioinformatics methodologies to be applied to drug design.

To acquire experience on the methodologies and techniques of organic synthesis through the preparation of some products and their structural determination. With reference to the Dublin Descriptors, this course aims to transfer the following transversal skills to the student:

Knowledge and understanding: Inductive and deductive reasoning skills;

Ability to rationalize and predict the reactivity of organic molecules; 

Ability to apply knowledge:

Ability to design a synthetic path suitable for obtaining a precise organic molecule;

Ability to foresee the necessary instrumentation for the realization of the synthesis;

Ability to identify the optimal reaction conditions for a given reaction.

Autonomy of judgment: Critical reasoning skills;

Self-assessment of learning through interactions in the classroom with colleagues and with the teacher.

Communication skills: Ability to describe in oral and written form, with properties of language and terminological rigor, one of the topics covered, using both power point presentations and the blackboard

Information for students with disabilities and/or SLD

• To guarantee equal opportunities and in compliance with the laws in force, interested students can request a personal interview in order to plan any compensatory measures, based on the educational objectives and specific needs.
  

The teaching will take place through the discussion of the various topics reported in the program (3 CFU) and will include days dedicated to the clarification of doubts and the simulation of the oral exam.

In order to understand and apply the concepts and techniques covered by the course, it is necessary to have knowledge of organic chemistry and basic analytical chemistry.

Strongly recommended although not mandatory to take the exam

Chemometrics concepts
Molecular representation (graphs, fingerprints, MIF) and
molecular minimitation.
Advanced molecular descriptors. QSAR and 3D-QSAR.
Circular molecular descriptors: the Moka method.
3D molecular descriptors: the VolSurf method.
Applications of the VolSurf method in the field of ADME
Calculation methods of bitstrings and fingerprints. Methods of calculating molecular similarity.
The Flap method for the calculation of molecular similarity.
The Flap method for the calculation of affinity with macromolecules.
Computational methods for metabolism prediction. The MetaSite method.

Computer exercises

handouts provided by the teacher

Oral exam and project evaluation

The topics covered are all equally important. There are no preferential questions. The project is repeated with FLAP and Volsurf