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DESCRIPTION:# Overview\nComputational methods have played a central role in
  drug discovery during the last decades. They now constitute an essential 
 part of the discovery pipeline\, notably in pharmaceutical companies. The 
 emergence of new approaches to predict the 3D structure of therapeutical t
 arget proteins is expected to further reinforce these approaches. Computer
 -aided drug design (CADD) tools are generally classified into two categori
 es: (i) ligand-based\, which use the information implicitly included in ex
 isting ligands and (ii) protein structure-based\, which use the targeted p
 rotein structure. \nStructure-based CADD can support hit identification an
 d lead optimization by tackling several tasks\, including small-molecule b
 inding site detection\, prediction of how small molecules bind to the prot
 ein target\, or the estimation of their affinity. This teaching will focus
  on structure-based CADD.\n\nDuring the School\, significant time will be 
 devoted to hands-on and the program will be divided into two main topics:\
 n-	How 3D structures of targeted proteins are obtained experimentally or t
 heoretically\, how they are stored\, annotated and disseminated\, how far 
 they can be trusted and corrected\n-	What are the standard and novel appro
 aches in structure-based computer-aided drug design\, how they work\, what
  can be expected from them.\n\n\n# Audience\nThis course is addressed to l
 ife scientists\, biomedical researchers and bioinformaticians (mostly PhD 
 students and postdocs).\n\n# Learning outcomes\nAt the end of the course\,
  the participants are expected to:\n* Understand the main concepts of stru
 cture-based CADD\n* Understand the approaches behind structure-based CADD\
 , how they work\, what we can expect from them\, and what are their limita
 tions\n\n\n# Prerequisites\n**Knowledge / competencies**\nThis course is d
 esigned for beginners and there is no requirement.\n\n**Technical**\nYou a
 re required to bring your own laptop\, more instructions will be communica
 ted to the course participants. \n\n# Schedule - CET time zone\nMay be sub
 ject to modifications\n\n**D1 - Monday 10 June** \n*Morning*: Experimental
  3D structure determination Trainer: Julia Santiago\, UNIL\, Lausanne\, CH
 \n\n*Afternoon*: Protein structure modelling by homology and deep learning
 \nTrainers: Janani Durairaj &amp\; Jérôme Eberhardt\, SwissModel\, Basel
 \, CH\n\n*Evening*: social dinner\n\n**D2 - Tuesday 11 June** \n*Morning*:
  Confidence in and correction of experimental 3D Structures\nTrainer: Robb
 ie Joosten\, PDBRedo\, NL\n\n*Afternoon*: Proteins*Plus* - Supporting Stru
 cture-Based Design on the Web\nTrainer: Christiane Ehrt\, Universität Ham
 burg &amp\; de.NBI - German Network for Bioinformatics Infrastructure\, DE
 .\n\n**D3 - Wednesday 12 June** \n*Morning*: Exploring small molecule stru
 cture data in PDBe and PDBe-KB\nTrainers: Preeti Choudhary &amp\; Ibrahim 
 Roshan Kunnakkattu\, PDBe\, EBI\, UK \n\n*Lunch time*: Social activity.\n\
 n*Afternoon*: Beyond Structure-based CADD\nTrainer: Antoine Daina\, SIB MM
 G\, Lausanne\, CH \n\n**D4 - Thursday 13 June** \n*Morning*: Small Molecul
 e Docking\nTrainer: Ute Röhrig\, SIB MMG\, Lausanne\, CH\n\n*Afternoon*: 
 Structure-based virtual screening\nTrainer: Carlos Oscar Sorzano\, CSIC\, 
 Madrid\, ES\n*Evening*: Social dinner\n**D5 - Friday 14 June** \n*Morning*
 : Molecular Modelling\, MD simulations and binding free energy estimation.
 \n\nTrainers: Annick Dejeagere &amp\; Roland Stote\, IGBMC\, ESBS\, Strasb
 ourg\, FR\n\n*Afternoon*: Deep learning in SB-CADD\nTrainer:  Kieran Didi\
 , Cambridge University\, UK\n\n\n\n# Application\nThe registration fees fo
 r academics are **500 CHF** and **2000 CHF** for for-profit companies. The
  fees include two social dinners (Monday and Thursday evening) and a socia
 l activity. Other meals and accommodation are at your own expenses.\n\nWou
 ld you please let us know your motivation and background in the "Comment" 
 field of the application form? Thank you.\n\nYou will be informed by email
  of your registration confirmation\, which may take some time. Upon recept
 ion of the confirmation email\, participants will be asked to confirm atte
 ndance by paying the fees within 5 days.\n\nApplications close on *02/05/2
 024*. Deadline for free-of-charge cancellation is set to *02/05/2024*. Can
 cellation after this date will not be reimbursed. Please note that partici
 pation in SIB courses is subject to our [general conditions](https://www.s
 ib.swiss/training/terms-and-conditions).\n\n# Venue and Time\nThis course 
 will be take place at the University of Lausanne\, more info will be provi
 ded in due time. \n\nThe School will start at 9:00 and end around 17:00. P
 recise information will be provided to the participants in due time.\n\n\n
 #  Additional information\nOrganization: Prof. Vincent Zoete\, associate p
 rofessor at UNIL and  group leader at SIB\nCoordination: Grégoire Rossier
 \n\nYou are welcome to register to the SIB courses mailing list to be info
 rmed of all future courses and workshops\, as well as all important deadli
 nes using the form [here](https://lists.sib.swiss/mailman/listinfo/courses
 ).\n\nPlease note that participation in SIB courses is subject to our [gen
 eral conditions](https://www.sib.swiss/training/terms-and-conditions).\n\n
 SIB abides by the [ELIXIR Code of Conduct](https://elixir-europe.org/event
 s/code-of-conduct). Participants of SIB courses are also required to abide
  by the same code.\n\nFor more information\, please contact [training@sib.
 swiss](mailto://training@sib.swiss).
SUMMARY:Spring School Structure-based Computer-aided Drug Design
URL;VALUE=URI:https://www.sib.swiss/training/course/20240609_CADD
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