REMAP statistics

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Citations per year

Number of citations per year for the bioinformatics software tool REMAP
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Tool usage distribution map

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

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Popular tool citations

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REMAP specifications

Information


Unique identifier OMICS_13135
Name REMAP
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data Chemical-chemical similarity scores, Protein-protein similarity scores
Operating system Unix/Linux
Programming languages MATLAB
License MIT License
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Lei Xie

Publication for REMAP

REMAP citation

library_books

Improved genome scale multi target virtual screening via a novel collaborative filtering approach to cold start problem

2016
Sci Rep
PMCID: 5153628
PMID: 27958331
DOI: 10.1038/srep38860

[…] ture-based target prediction method that uses neither the information obtained from proteins nor from the interactome. Finally, we submitted to the ZINC test a version of the COSINE algorithm, called REMAP, which uses linear (instead of logistic) factorization and global (instead of position specific) weights. Comparison with the latter algorithm (which has been used by our group for drug “off-tar […]


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REMAP institution(s)
The Graduate Center, The City University of New York, NY, USA; Department of Computer Science, University of Northern Iowa, Cedar Falls, IA, USA; Department of Computer Science and Technology, Nanjing University, Nanjing, Jiangsu, China; School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA; Academy for Information Technology, Union County Vocational-Technical Schools, Scotch Plains, NJ, USA; High Technology High School, Lincroft, NJ, USA; Department of Computer Science, Hunter College, The City University of New York, NY, USA
REMAP funding source(s)
This research was supported by the National Library of Medicine of the National Institute of Health under the award number R01LM011986, National Science Foundation under the award number CNS-0958379, CNS-0855217, ACI-1126113, and the City University of New York High Performance Computing Center at the College of Staten Island and, in part, by the 2016 UNI’s Summer Fellowship.

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