An automated pipeline for multi-species protein function prediction from the UniProt Knowledgebase
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Data di Pubblicazione:
2014
Citazione:
An automated pipeline for multi-species protein function prediction from the UniProt Knowledgebase / M. Re, M. Mesiti, G. Valentini. ((Intervento presentato al convegno Automated Function Prediction SIG - ISMB tenutosi a Boston nel 2014.
Abstract:
A recent international challenge, CAFA (Critical Assessment of Functional Annotation of
proteins), provided the unique opportunity of critically evaluate and compare state-of-the-art
methods for automated protein function prediction (AFP) (1). As pointed out by the CAFA
results, one of the key issues that characterizes the AFP problem is the integration of both
heterogeneous experimental data and different prediction methods. These items pose serious
computational problems because of the ever increasing rate at which bio-molecular data are
made available in public databases and for the complexity of the the prediction tasks.
In this contribution we describe an automatic pipeline that addresses both these issues by
exploiting data directly available for the UniProt KB. We applied the pipeline to the second and
still ongoing CAFA 2 challenge.
Tipologia IRIS:
14 - Intervento a convegno non pubblicato
Elenco autori:
M. Re, M. Mesiti, G. Valentini
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