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HOME > IQS TECH TRANSFER > TEAM > Roger Estrada Tejedor, PhD

Roger Estrada Tejedor, PhD

Head of GQF Group - Head of Molecular Design Lab. - Associate Professor
+34932672000

RESEARCH LINES

  • Drug design using computational techniques.
  • Implementation of new algorithms based on artificial intelligence and their application in the field of medicinal chemistry

 

COORDINATOR:

GQF

Grup de Química Farmacèutica

School of Engineering

Pharmaceutical Chemistry Group

The research focuses on two main areas: New Drugs in Biomedicine and Health Sciences and Flow Chemistry Processes.

LATEST PROJECTS

DisX4lymph (Interrupción de la interacción estroma-tumor en linfoma B utilizando inhibidores CXCR4 y degradadores IRAK4)

Diseño y síntesis de inhibidores alostéricos de CXCR4 y degradadores de IRAK4 como potencial tratamiento de linfoma de células B.
Funding Agency:
Research Group Link:
Pharmaceutical Chemistry Group (GQF)

PreClinIQS080 (Estudio Preclínico Inicial de IQS080, un candidato a fármaco contra el cáncer de páncreas)

Estudio Preclínico de un potente inhibidor multidiana in vitro dirigido a tirosina quinasas intracelulares implicadas en el cáncer de páncreas
Funding Agency:
Research Group Link:
Pharmaceutical Chemistry Group (GQF)

ANTIMIR (DISEÑO DE OLIGONUCLEÓTIDOS INHIBIDORES DE miRNAS COMO DIANAS TERAPÉUTICAS EN ATROFIAS MUSCULARES)

Diseño de nuevos anti-miRs como agentes terapéuticos usando modelización molecular y métodos quimioinformáticos.
Funding Agency:
Research Group Link:
Pharmaceutical Chemistry Group (GQF)
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LINKED NEWS

Research

New Tyrosine Kinase Inhibitors Against Lymphoma

09/05/2023
Researchers from the IQS Pharmaceutical Chemistry Group and the Josep Carreras Leukaemia Research Institute are collaborating on the DisX4lymph project to look for new agents for the treatment of aggressive B-cell lymphoma.
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Doctoral thesis

Exploring Molecular Diversity, Searching for New Active Molecules

31/01/2023
In her doctoral thesis, Dr Leticia Manén has implemented a chemoinformatics methodology based on the selection of potentially active molecules, going far beyond the processes of hit-to-lead optimization and the claimed Markush space.
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