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AGGRESCAN : a server for the prediction and evaluation of "hot spots" of aggregation in polypeptides
Conchillo-Solé, Óscar (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Sánchez de Groot, Natalia (Universitat Autònoma de Barcelona. Departament de Bioquímica i Biologia Molecular)
Avilés, Francesc X. (Francesc Xavier) (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Vendrell i Roca, Josep (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Daura i Ribera, Xavier (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Ventura i Zamora, Salvador (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")

Date: 2007
Abstract: Background: Protein aggregation correlates with the development of several debilitating human disorders of growing incidence, such as Alzheimer's and Parkinson's diseases. On the biotechnological side, protein production is often hampered by the accumulation of recombinant proteins into aggregates. Thus, the development of methods to anticipate the aggregation properties of polypeptides is receiving increasing attention. AGGRESCAN is a web-based software for the prediction of aggregation-prone segments in protein sequences, the analysis of the effect of mutations on protein aggregation propensities and the comparison of the aggregation properties of different proteins or protein sets. Results: AGGRESCAN is based on an aggregation-propensity scale for natural amino acids derived from in vivo experiments and on the assumption that short and specific sequence stretches modulate protein aggregation. The algorithm is shown to identify a series of protein fragments involved in the aggregation of disease-related proteins and to predict the effect of genetic mutations on their deposition propensities. It also provides new insights into the differential aggregation properties displayed by globular proteins, natively unfolded polypeptides, amyloidogenic proteins and proteins found in bacterial inclusion bodies. Conclusion: By identifying aggregation-prone segments in proteins, AGGRESCAN http://bioinf. uab. es/aggrescan/ webcite shall facilitate (i) the identification of possible therapeutic targets for anti-depositional strategies in conformational diseases and (ii) the anticipation of aggregation phenomena during storage or recombinant production of bioactive polypeptides or polypeptide sets.
Note: Número d'acord de subvenció MEC/BIO2003-02848
Note: Número d'acord de subvenció MEC/BIO2004-05879
Note: Número d'acord de subvenció AGAUR/2005/SGR-00037
Note: Número d'acord de subvenció AGAUR/2005/SGR-01037
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès.
Document: article ; publishedVersion
Published in: BMC Bioinformatics, Vol. 8, N. 65 (February 2007) , p. 1-17, ISSN 1471-2105

DOI: 10.1186/1471-2105-8-65
PMID: 17324296


17 p, 815.0 KB

Additional file 1
1 p, 48.0 KB

Additional file 2
2 p, 120.9 KB

Additional file 3
2 p, 101.3 KB

Additional file 4
4 p, 138.5 KB

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 Record created 2013-10-03, last modified 2019-02-04



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