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Computer-Aided Drug design

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The contribution of computational methodologies to drug discovery is no longer a matter of dispute and the major world’s pharmaceutical and biotechnology companies use computational design tools.Computer-aided drug design comprises computational methods and resources that are used to facilitate the design and discovery of new therapeutic solutions.This summer school will cover all the main computational techniques used in drug discovery, supplying a basic level of knowledge of this research field.

Aim

This course will be divided into theoretical and practical lessons and will allow the participants to independently develop their own computational studies.

Who can apply

Undergraduates and PhD students, post-doctoral researchers and senior researchers from Universities, research institutes, clinics and industries are welcome.

Language

English

Program Intensity

Full-time

Application

Admission Requirements

The school is open to all students that possess a basic background of chemistry, biology or medicinal chemistry.

Required documents

  • Identity Document (*PASSPORT in case you are a foreign student*)
  • Enrolment Form
  • Curriculum Vitae

All the documents must be in pdf format, in order to upload them on the portal when required (See the "How to apply" page)

ECTS

3

Fees

250 euro

Bank transfer to the following account:

Università di Pisa

Dipartimento di Farmacia

Banca di Pisa e Fornacette- Credito Cooperativo S.c.p.A.

IBAN: IT76A0856270910000011156510
BIC/SWIFT: BCCFIT33

Fundings

Please write to the coordinator for further details.

Period

20 - 25 July 2020

Application Deadline

31 May 2020

Contacts

Coordinator
Prof. Tiziano Tuccinardi Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. 
Dr. Fabio Pratali Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. 

Website http://www.mmvsl.it/wp/miscellaneous/cadd-summer-school/

Summer/Winter School Office Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. 

 

Ultima modifica: Ven 08 Nov 2019 - 10:33

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