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From Medicinal Chemistry to Human Health: Current Approaches to Drug Discovery for Cancer and Neglected Tropical Diseases

Overview of attention for article published in Anais da Academia Brasileira de Ciências, February 2018
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Title
From Medicinal Chemistry to Human Health: Current Approaches to Drug Discovery for Cancer and Neglected Tropical Diseases
Published in
Anais da Academia Brasileira de Ciências, February 2018
DOI 10.1590/0001-3765201820170505
Pubmed ID
Authors

Leonardo G Ferreira, Glaucius Oliva, Adriano D Andricopulo

Abstract

Scientific and technological breakthroughs have compelled the current players in drug discovery to increasingly incorporate knowledge-based approaches. This evolving paradigm, which has its roots attached to the recent advances in medicinal chemistry, molecular and structural biology, has unprecedentedly demanded the development of up-to-date computational approaches, such as bio- and chemo-informatics. These tools have been pivotal to catalyzing the ever-increasing amount of data generated by the molecular sciences, and to converting the data into insightful guidelines for use in the research pipeline. As a result, ligand- and structure-based drug design have emerged as key pathways to address the pharmaceutical industry's striking demands for innovation. These approaches depend on a keen integration of experimental and molecular modeling methods to surmount the main challenges faced by drug candidates - in vivo efficacy, pharmacodynamics, metabolism, pharmacokinetics and safety. To that end, the Laboratório de Química Medicinal e Computacional (LQMC) of the Universidade de São Paulo has developed forefront research on highly prevalent and life-threatening neglected tropical diseases and cancer. By taking part in global initiatives for pharmaceutical innovation, the laboratory has contributed to the advance of these critical therapeutic areas through the use of cutting-edge strategies in medicinal chemistry.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 20%
Student > Bachelor 15 15%
Researcher 9 9%
Student > Ph. D. Student 7 7%
Student > Doctoral Student 4 4%
Other 10 10%
Unknown 33 34%
Readers by discipline Count As %
Chemistry 15 15%
Pharmacology, Toxicology and Pharmaceutical Science 11 11%
Medicine and Dentistry 9 9%
Biochemistry, Genetics and Molecular Biology 5 5%
Engineering 4 4%
Other 17 18%
Unknown 36 37%