AGGRESCAN: a server for the prediction and evaluation of "hot spots" of aggregation in polypeptides
Universitat Autònoma de Barcelona · Institució Catalana de Recerca i Estudis Avançats
Abstract
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.
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.
Citation impact
- FWCI
- 10.49
- Percentile
- 100%
- References
- 98
Authors
6- OCOscar Conchillo‐SoléCorresponding
Universitat Autònoma de Barcelona
- NSNatalia Sánchez de Groot
Universitat Autònoma de Barcelona
- FAFrancesc Avilés
Universitat Autònoma de Barcelona
- JVJosep Vendrell
Universitat Autònoma de Barcelona
- XDXavier Daura
Institució Catalana de Recerca i Estudis Avançats, Universitat Autònoma de Barcelona
Topics & keywords
- Protein aggregation
- Computational biology
- Biology
- Anticipation (artificial intelligence)
- Protein folding
- Human proteins
- Chemistry
- Biochemistry