GLOBALART

Improved prediction of HIV drug resistance in different viral subtypes by bioinformatic analysis of genetic and clinical data

 Coordinatore  

 Organization address address: Nobels Vag 5
city: STOCKHOLM
postcode: 17177

contact info
Titolo: Mr.
Nome: Klas
Cognome: Karlsson
Email: send email
Telefono: -58582396
Fax: -7117646

 Nazionalità Coordinatore Non specificata
 Totale costo 0 €
 EC contributo 0 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-10-01   -   2013-06-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    KAROLINSKA INSTITUTET

 Organization address address: Nobels Vag 5
city: STOCKHOLM
postcode: 17177

contact info
Titolo: Mr.
Nome: Klas
Cognome: Karlsson
Email: send email
Telefono: -58582396
Fax: -7117646

SE (STOCKHOLM) coordinator 45˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

sequence    countries    subtypes    africa    dna    clinical    aids    drug    patients    history    euresist    data    resistance    hiv    viral    income    therapy    treatment    subtype    prediction   

 Obiettivo del progetto (Objective)

'Since the advent of the HIV epidemic, more than 25 million people have died from AIDS. Antiretroviral therapy (ART) has dramatically decreased to mortality and morbidity in high income countries. However, the virus adapts rapidly during suboptimal therapy and over 200 mutations are associated with resistance to one or more drugs. Drug resistance is thus a major threat to the long-term outcome of ART. The EuResist project is the worlds largest database and has created a prediction engine, based on a combination of HIV genetic data, treatment history and clinical response, from over 33,000 patients from six European countries. The amount of data and participating countries, are ontinuously increasing. Given the viral DNA sequence and patient clinical data, EuResist can recommend the therapy most likely to effectively suppress the viral load, and avoid drug combinations likely to fail due to resistance. Currently, the data is mainly retrieved from HIV subtype B, since this viral type is the most common in Europe. One of the main aims of the project is therefore to enhance the prediction for other subtypes, e.g. subtype C, which is the most common in Africa and world-wide. This will be achieved through addition of new data from patients infected with different viral subtypes, both from Sweden and from collaborating institutes in Ethiopia, Tanzania and South Africa. Furthermore, we will perform thorough bioinformatic analysis of mutational patterns in relation to the viral subtype, where the ultimate goal is to create a valid treatment prediction based on clinical data and treatment history, without the need for viral DNA sequence data. If this is achieved it will be a highly important contribution to the fight against AIDS in low and middle-income countries.'

Altri progetti dello stesso programma (FP7-PEOPLE)

NPS4FM (2014)

Nanomaterial Photonic Sensors for Food Manufacturing

Read More  

COSMA (2012)

COHERENT OPTICS SENSORS FOR MEDICAL APPLICATIONS

Read More  

ACTION TO GESTURE (2010)

From action to communication: the role of intention and social cues in the perception of gestures as communicative acts

Read More