AnnoLite statistics

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Citations per year

Number of citations per year for the bioinformatics software tool AnnoLite

Tool usage distribution map

This map represents all the scientific publications referring to AnnoLite per scientific context
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AnnoLite specifications


Unique identifier OMICS_26615
Name AnnoLite
Interface Web user interface
Restrictions to use None
Input data A PDB chain code and thresholds for filtering sequence and structure similarities.
Output data An automatic annotation of the protein structures.
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Marc A. Marti-Renom

Publications for AnnoLite

AnnoLite citations


Rapid Catalytic Template Searching as an Enzyme Function Prediction Procedure

PLoS One
PMCID: 3651201
PMID: 23675414
DOI: 10.1371/journal.pone.0062535

[…] methods , , Evolutionary Trace , INTREPID , Phylofacts , , and Bayesian Monte Carlo inference . that combine sequence and structural information include EFICAz , , SOIPPA –, DISCERN , PevoSOAR , and AnnoLite and can provide improvements to sequence based methods alone. The success of global similarity-based techniques depends largely on the ability to distinguish conservation patterns that corre […]


FLORA: A Novel Method to Predict Protein Function from Structure in Diverse Superfamilies

PLoS Comput Biol
PMCID: 2721411
PMID: 19714201
DOI: 10.1371/journal.pcbi.1000485

[…] AMMOTH , FatCat , MSDFold ), which can detect distant evolutionary relationships even where sequence similarity is weak. These methods have been specifically applied to function prediction (ProKnow , Annolite ) to assign confidence values when inheriting GO terms between related structures. However, detecting very distant relatives remains a challenge as structure comparison methods generally give […]

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AnnoLite institution(s)
Structural Genomics Unit, University of California at San Francisco, San Francisco, CA, USA; Departments of Biopharmaceutical Sciences and Pharmaceutical Chemistry University of California at San Francisco, San Francisco, CA, USA; California Institute for Quantitative Biomedical Research, University of California at San Francisco, San Francisco, CA, USA; Functional Genomics Unit, Bioinformatics Department, Centro de Investigacion Principe Felipe (CIPF), Valencia, Spain
AnnoLite funding source(s)
Supported by The Sandler Family Supporting Foundation, NIH grants GM 62529, GM074929, GM71790 and GM54762.

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