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pepMMsMIMIC specifications


Unique identifier OMICS_08056
Name pepMMsMIMIC
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Stefano Moro

Publication for pepMMsMIMIC

pepMMsMIMIC citations


Computer aided design of amino acid based therapeutics: a review

Drug Des Devel Ther
PMCID: 5958949
DOI: 10.2147/DDDT.S159767

[…] macophore- and shape-matching techniques into one program can potentially diminish the rate of false positives.Recently, to discover novel peptidomimetics, a web-oriented virtual screening tool named pepMMsMIMIC was developed to pool the conventional pharmacophore matching with shape complementarity. A library of 17 million conformers were extracted from 3.9 million commercially available chemical […]


Bioinformatic Identification of Peptidomimetic Based Inhibitors against Plasmodium falciparum Antigen AMA1

PMCID: 4281401
PMID: 25580351
DOI: 10.1155/2014/642391
call_split See protocol

[…] Virtual screening of peptidomimetics against the crucial residues of PfAMA1 implicated in binding with PfRON2 peptide (residues Pro-2033, Phe-2038 to Arg-2041, and Pro-2044) was carried out with pepMMsMIMIC server []. This server is based on multiconformer, three-dimensional (3D) similarity search using as input the 3D structure of a peptide bound to a protein and suggests which chemical stru […]


In Silico Study on Binding Specificity of Gonadotropins and Their Receptors: Design of a Novel and Selective Peptidomimetic for Human Follicle Stimulating Hormone Receptor

PLoS One
PMCID: 3659097
PMID: 23700481
DOI: 10.1371/journal.pone.0064475

[…] The 3D structure of FSHβ peptidic stretch 89S-103Y that includes the BSRs except 42P (as it is topologically distant) was used as the template for pepMMsMIMIC, a web-based peptidomimetic compound virtual screening tool. The pharmacophore model, generated based on the BSRs, was screened against a library of 17 million conformers obtained from 3.9 […]


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pepMMsMIMIC institution(s)
CRS4 – Bioinformatics Laboratory, Parco Sardegna Ricerche, Pula (CA), CBiB, Université Victor Segalen Bordeaux 2, Bordeaux, France; Molecular Modeling Section (MMS), Department of Pharmaceutical Sciences, University of Padova, PD, Italy

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