2016
DOI: 10.4155/fmc-2016-0079
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Chemoinformatic Expedition of the Chemical Space of Fungal Products

Abstract: Aim: Fungi are valuable resources for bioactive secondary metabolites. However, the chemical space of fungal secondary metabolites has been studied only on a limited basis. Herein, we report a comprehensive chemoinformatic analysis of a unique set of 207 fungal metabolites isolated and characterized in a USA National Cancer Institute funded drug discovery project. Results: Comparison of the molecular complexity of the 207 fungal metabolites with approved anticancer and nonanticancer drugs, compounds in clinica… Show more

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Cited by 42 publications
(56 citation statements)
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“…3 emphasize that approved anticancer and non-anticancer drugs have different profiles of diversity, including physicochemical properties. Putting together these observations with previous analyses comparing approved anticancer and non-anticancer drugs [34] confirm that concepts such as “drug-likeness” highly depend on the type of drugs being analyzed.…”
Section: Resultssupporting
confidence: 73%
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“…3 emphasize that approved anticancer and non-anticancer drugs have different profiles of diversity, including physicochemical properties. Putting together these observations with previous analyses comparing approved anticancer and non-anticancer drugs [34] confirm that concepts such as “drug-likeness” highly depend on the type of drugs being analyzed.…”
Section: Resultssupporting
confidence: 73%
“…In MOE, the six properties have the following notation: a_don, a_acc, SlogP, Weight, TPSA, and b_rotN, respectively. These molecular descriptors have been used to measure the diversity of compound databases [3436]. The distance (or dissimilarity ) between any two data sets, D u and D v , was computed using the Euclidean distance function [31] as follows.…”
Section: Methodsmentioning
confidence: 99%
“…The chemotype diversity was analyzed for a unique in-house library of 223 fungal metabolites (El-Elimat et al, 2012; Gonzalez-Medina et al, 2016). For reference, five data sets containing between 76 and 2,500 compounds were included in the analysis: compounds based on the FEMA GRAS list (hereafter referred to as GRAS; Burdock et al, 2006; Medina-Franco et al, 2012); FDA approved drugs obtained from DrugBank, version 4.0 (Wishart et al, 2006; Law et al, 2014) subdivided into: anticancer and non-anticancer drugs; and two datasets from a commercial vendor (http://www.ac-discovery.com) containing mostly natural products derived from plants (MEGx) and semi-synthetic compounds (NATx).…”
Section: Methodsmentioning
confidence: 99%
“…To compare the data sets, six properties of pharmaceutical relevance were calculated with MOE software: hydrogen bond donors (HBD), hydrogen bond acceptors (HBA), the octanol/water partition coefficient (LogP), molecular weight (MW), topological polar surface area (TPSA), and number of rotatable bonds (RTB). These molecular descriptors have been used previously to measure molecular properties diversity (Gonzalez-Medina et al, 2016). …”
Section: Methodsmentioning
confidence: 99%
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