SEA specifications

Information


Unique identifier OMICS_18727
Name SEA
Alternative name Similarity Ensemble Approach
Interface Web user interface
Restrictions to use None
Input format SMILES
Computer skills Basic
Stability Stable
Maintained Yes

Maintainers


  • person_outline Andrej Sali <>
  • person_outline John Irwin <>

Publication for Similarity Ensemble Approach

SEA in publications

 (16)
PMCID: 5633780
PMID: 29051733
DOI: 10.3389/fphar.2017.00694

[…] combined with chemometric method, information integration, and data-mining were implemented. first of all, the active ingredients were submitted to various servers viz. drar-cpi (luo et al., ), similarity ensemble approach (sea, http://sea.bkslab.org/) (keiser et al., ), stitch (http://stitch.embl.de/) (kuhn et al., ), and pharmmapper server (wang et al., ). all active compounds were also […]

PMCID: 4897632
PMID: 27271722
DOI: 10.1038/srep27396

[…] shaken for 15 min, and the absorbance was measured at 570 nm using an enzyme immunoassay instrument (thermo scientific, usa)., target proteins of the small molecule compounds, were obtained from the similarity ensemble approach (sea) (http://sea.bkslab.org/). we downloaded the initial three-dimensional geometric coordinates of the x-ray crystal structure of mek1 (pdb id: 3w8q) and erk1 (pdb id: […]

PMCID: 4852538
PMID: 27199743
DOI: 10.3389/fnagi.2016.00097

[…] on pd’s (figure ). in order to achieve this, we compared the similarity between the list of drugs obtained from x2kinase (chen et al., ) and enricher (chen et al., ), using the algorithm of similarity ensemble approach (keiser et al., ). similarity ensemble approach (sea) makes use of the tanimoto’s algorithm, a coefficient based in a reliable mathematical model for computing molecular […]

PMCID: 4842302
PMID: 27110288
DOI: 10.1186/s13321-016-0130-x

[…] the chembl17 database, afzal et al.  [] evaluated a multi-label multi-class classification model and a single-label multi-class classification model. in 2007, keiser et al. [] developed the chemical similarity ensemble approach (sea), which relates proteins to one another based on the chemical similarity among their bound ligands. since then, the sea and sea-like methods have been successfully […]

PMCID: 4786259
PMID: 26963248
DOI: 10.1371/journal.pone.0150602

[…] molecular profile similar to antipsychotic compounds. our study characterizes nuciferine using in vitro and in vivo pharmacological assays., nuciferine was first characterized in silico using the similarity ensemble approach, and was followed by further characterization and validation using the psychoactive drug screening program of the national institute of mental health. nuciferine […]


To access a full list of publications, you will need to upgrade to our premium service.

SEA institution(s)
Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA; Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA; Departments of Biochemistry and Nutrition and National Institute of Mental Health Psychoactive Drug Screening Program, Case Western Reserve University Medical School, Cleveland, OH, USA; Department of Pharmacology and Division of Medicinal Chemistry and Natural Products (BLR), The University of North Carolina Chapel Hill Medical School, Chapel Hill, NC, USA
SEA funding source(s)
Supported by GM71896, Training Grant GM67547, a National Science Foundation graduate fellowship, the National Institute of Mental Health Psychoactive Drug Screening Program and F32-GM074554.

SEA reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review SEA