Literature DB >> 28737911

Platform for Unified Molecular Analysis: PUMA.

Mariana González-Medina1, José L Medina-Franco1.   

Abstract

We introduce a free platform for chemoinformatic-based diversity analysis and visualization of chemical space of user supplied data sets. Platform for Unified Molecular Analysis (PUMA) integrates metrics used to characterize compound databases including visualization of chemical space, scaffold content, and analysis of chemical diversity. The user's input is a file with SMILES, database names, and compound IDs. PUMA computes molecular properties of pharmaceutical relevance, Murcko scaffolds, and diversity analysis. The user can interactively navigate through the graphs and export image files and the raw data of the diversity calculations. The platform links two public online resources: Consensus Diversity Plots for the assessment of global diversity and Activity Landscape Plotter to analyze structure-activity relationships. Herein, we describe the functionalities of PUMA and exemplify its use through the analysis of compound databases of general interest. PUMA is freely accessible at the authors web-site https://www.difacquim.com/d-tools/ .

Mesh:

Year:  2017        PMID: 28737911     DOI: 10.1021/acs.jcim.7b00253

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  8 in total

1.  Knowledge discovery through chemical space networks: the case of organic electronics.

Authors:  Christian Kunkel; Christoph Schober; Harald Oberhofer; Karsten Reuter
Journal:  J Mol Model       Date:  2019-03-07       Impact factor: 1.810

2.  Chemoinformatics: a perspective from an academic setting in Latin America.

Authors:  J Jesús Naveja; C Iluhí Oviedo-Osornio; Nicole N Trujillo-Minero; José L Medina-Franco
Journal:  Mol Divers       Date:  2017-12-04       Impact factor: 2.943

Review 3.  Towards reproducible computational drug discovery.

Authors:  Nalini Schaduangrat; Samuel Lampa; Saw Simeon; Matthew Paul Gleeson; Ola Spjuth; Chanin Nantasenamat
Journal:  J Cheminform       Date:  2020-01-28       Impact factor: 5.514

4.  Androgen Receptor Binding Category Prediction with Deep Neural Networks and Structure-, Ligand-, and Statistically Based Features.

Authors:  Alfonso T García-Sosa
Journal:  Molecules       Date:  2021-02-26       Impact factor: 4.411

5.  Application of Networking Approaches to Assess the Chemical Diversity, Biogeography, and Pharmaceutical Potential of Verongiida Natural Products.

Authors:  James Lever; Robert Brkljača; Colin Rix; Sylvia Urban
Journal:  Mar Drugs       Date:  2021-10-18       Impact factor: 5.118

Review 6.  Progress and Impact of Latin American Natural Product Databases.

Authors:  Alejandro Gómez-García; José L Medina-Franco
Journal:  Biomolecules       Date:  2022-08-30

7.  Progress on open chemoinformatic tools for expanding and exploring the chemical space.

Authors:  José L Medina-Franco; Norberto Sánchez-Cruz; Edgar López-López; Bárbara I Díaz-Eufracio
Journal:  J Comput Aided Mol Des       Date:  2021-06-18       Impact factor: 4.179

8.  Pharmacoinformatic Investigation of Medicinal Plants from East Africa.

Authors:  Conrad V Simoben; Ammar Qaseem; Aurélien F A Moumbock; Kiran K Telukunta; Stefan Günther; Wolfgang Sippl; Fidele Ntie-Kang
Journal:  Mol Inform       Date:  2020-10-08       Impact factor: 3.353

  8 in total

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