Raúl Isea*

Fundación Instituto de Estudios Avanzados, Hoyo de la Puerta, Baruta, Venezuela

*Corresponding Author: Raúl Isea, Fundación Instituto de Estudios Avanzados, Baruta, Venezuela.

Received: December 28, 2017; Published: January 09, 2018

DOI: 10.31080/ASMI.2018.01.0012

Citation: Raúl Isea. “A Point of View about Computational Challenges for the Design of New Drugs for Combating Malaria”. Acta Scientific Microbiology 1.2 (2018).

Abstract

  The development of new drugs is a problem with a difficult solution for overcoming from a computational point of view. This is so due to the lack of programs that could manage great volumes of data in many different formats from the entire world. As a con- sequence, it is crucial to solve this digital divide in order to perform in silico experiments for the design of new medicines in a short period of time. To visualize these aspects, it will be emphasized in the case of the malaria problem with special attention on Plasmodium falciparum .

Keywords: Docking; In Silico Experiment; Docking; Malaria, Plasmodium falciparum

Bibliography

1. NCBI Resource Coordinators. “Database Resources of the National Center for Biotechnology Information”. Nucleic Acids Research 4.45 (2017): D12-D17.
2. ENCODE Project Consortium. “Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project”. Nature 447.7146 (2007): 799-816.
3. María P Magariños., et al. “TDR Targets: a chemogenomics resource for neglected diseases”. Nucleic Acids Research 40 (2012): D1118-D1127.
4. Balaji P., et al. “Distributed I/O with ParaMEDIC: Experiences with a worldwide supercomputer”. International Supercomputing Conference (2008): 1-10.
5. Moustakas DT., et al. “Development and validation of a modular, extensible docking program: DOCK 5”. Journal of Computer-Aided Molecular Design 20.10-11 (2006): 601-619.
6. Cheng LS., et al. “Ensemble-Based Virtual Screening Reveals Potential Novel Antiviral Compounds for Avian Influenza Neuraminidase”. Journal of Medicinal Chemistry 51.13 (2008): 3878-3894.
7. Vinod Kasam., et al. “WISDOM-II: Screening against multiple targets implicated in malaria using computational grid infrastructures”. Malaria Journal 8 (2009): 88.

Copyright: © 2018 Raúl Isea. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.