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1.
Expert Opin Drug Discov ; 18(8): 821-833, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37424369

RESUMO

INTRODUCTION: Collaborative computing has attracted great interest in the possibility of joining the efforts of researchers worldwide. Its relevance has further increased during the pandemic crisis since it allows for the strengthening of scientific collaborations while avoiding physical interactions. Thus, the E4C consortium presents the MEDIATE initiative which invited researchers to contribute via their virtual screening simulations that will be combined with AI-based consensus approaches to provide robust and method-independent predictions. The best compounds will be tested, and the biological results will be shared with the scientific community. AREAS COVERED: In this paper, the MEDIATE initiative is described. This shares compounds' libraries and protein structures prepared to perform standardized virtual screenings. Preliminary analyses are also reported which provide encouraging results emphasizing the MEDIATE initiative's capacity to identify active compounds. EXPERT OPINION: Structure-based virtual screening is well-suited for collaborative projects provided that the participating researchers work on the same input file. Until now, such a strategy was rarely pursued and most initiatives in the field were organized as challenges. The MEDIATE platform is focused on SARS-CoV-2 targets but can be seen as a prototype which can be utilized to perform collaborative virtual screening campaigns in any therapeutic field by sharing the appropriate input files.


Assuntos
COVID-19 , SARS-CoV-2 , Humanos , Simulação de Acoplamento Molecular , Proteínas , Antivirais
2.
J Mol Graph Model ; 89: 234-241, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-30921557

RESUMO

In drug discovery, structural knowledge of a target enables structure-based design approaches and thereby reduces the time and labor required to develop a therapy. Whilst molecular graphics frameworks coupled with computational analysis are now ubiquitous tools for the structural and computational biologist, sharing the detailed visualization and derived structural information with non-expert users still presents a challenge. Here we describe an intuitive virtual world for viewing, manipulating, and modifying chemical and macromolecular structures in a fully immersive and collaborative 3D environment. By reducing the barriers to viewing and interacting with structural data, structural analysis can be democratized to a general scientist, which in turn fosters novel collaboration, ideas, and findings in structural biology and structure-based drug discovery.


Assuntos
Descoberta de Drogas , Relação Quantitativa Estrutura-Atividade , Realidade Virtual , Sítios de Ligação , Biologia Computacional , Desenho de Fármacos , Humanos , Ligantes , Ligação Proteica , Proteína Serina-Treonina Quinase 2 de Interação com Receptor/antagonistas & inibidores , Proteína Serina-Treonina Quinase 2 de Interação com Receptor/química , Software , Interface Usuário-Computador
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