AnnoLyze statistics

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Citations per year

Number of citations per year for the bioinformatics software tool AnnoLyze

Tool usage distribution map

This map represents all the scientific publications referring to AnnoLyze per scientific context
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Associated diseases

This word cloud represents AnnoLyze usage per disease context

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AnnoLyze specifications


Unique identifier OMICS_26616
Name AnnoLyze
Interface Web user interface
Restrictions to use None
Input data A chain code and thresholds for filtering sequence and structure similarities.
Input format PDB
Output data An automatic annotation of the protein structures.
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Marc A. Marti-Renom

Publications for AnnoLyze

AnnoLyze citations


Target Prediction for an Open Access Set of Compounds Active against Mycobacterium tuberculosis

PLoS Comput Biol
PMCID: 3789770
PMID: 24098102
DOI: 10.1371/journal.pcbi.1003253

[…] een compounds and targets was built to identify the most likely target of a given compounds in our GSK dataset. To explore the structural space we used an improved version of our previously published AnnoLyze algorithm , which was based on homology detection through structural superimposition of targets and their interaction networks to small compounds similarly to previously published approaches […]


A Kernel for Open Source Drug Discovery in Tropical Diseases

PLoS Negl Trop Dis
PMCID: 2667270
PMID: 19381286
DOI: 10.1371/journal.pntd.0000418
call_split See protocol

[…] ein models as well as predicted locations of binding sites for small molecules on their surfaces and predicted types of molecules they bind. The pipeline, which relies on the MODPIPE package and the AnnoLyze program , has been applied to genomes of ten pathogens that cause tropical diseases. The output of the pipeline has been stored in a relational database for easy searching and dissemination o […]

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AnnoLyze 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
AnnoLyze funding source(s)
Supported by The Sandler Family Supporting Foundation, NIH grants GM 62529, GM074929, GM71790 and GM54762.

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