Fernando Barroso da Silva: Research improves our understanding of diseases and biomolecular interactions
When you write Fernando Barroso da Silva on Google, the results are related to collaborations with universities worldwide to promote scientific partnerships. He is an Associate Professor at University of São Paulo with a Ph.D. in Theoretical Chemistry. He frequently serves as a visiting researcher/professor at universities in the USA such as North Carolina State University and worldwide in Sweden France, Poland, and Ireland. He is an expert in Molecular Biophysics and focuses on biomolecular interactions, computational virology, and data-driven science.
As part of Computing for Humanity’s partnership with the Open Science Grid (OSG), we had the opportunity to connect with Fernando Barroso da Silva, a researcher from Brazil. He shared valuable insights about the work that he conducts using the resources provided by OSG. His research is focused on developing and applying constant pH simulation methods to better understand biomolecular interactions. Specifically, he is interested in elucidating the intricate interactions at play in various biomolecular systems, particularly those involving antibodies. These systems present intriguing challenges due to their complex interfaces, such as those found in antibody-antigen interactions. “By leveraging computational models, we aim to unravel the underlying physics driving these interactions and, importantly, translate this understanding into practical applications, such as the development of therapeutic antibodies for diseases like COVID-19 and dengue fever”, he says.
He demonstrates a practical use of the technique by reminding the early days of the COVID-19 pandemic in 2020. “At that time, one of our primary goals was to identify potential targets for vaccines and antibody treatments. To achieve this, we relied on computational modeling based on previous knowledge of similar viruses like SARS-CoV. By analyzing available sequence information and simulating virus-host interactions, we identified promising targets for intervention. For example, we pinpointed the spike protein's receptor-binding domain as a viable target for vaccine development. This computational approach enabled us to make prompt and informed decisions, even amid the pandemic, the researcher notes.
Even when the current focus of his research is on antibody development for viruses like SARS-CoV-2 and flaviviruses such as dengue, the principles and tools he employs are applicable across a wide range of biological systems. “Our research not only enhances our understanding of specific diseases but also contributes to fundamental knowledge about biomolecular interactions. This knowledge can be leveraged for various applications, from designing targeted therapies for different diseases to engineering biomaterials with specific properties”, Barroso da Silva says.
This work relies heavily on computational resources, essential to his work. “Without access to High-Performance Computing resources like those provided by the OSG supported by organizations like Computing for Humanity, our research would be severely constrained. These resources enable us to perform complex simulations, explore numerous scenarios, and accelerate our research timelines significantly. In essence, the more computational power we have at our disposal, the further and faster we can advance our research efforts”, he expresses. Computing for Humanity offer invaluable resources and support that can significantly accelerate your research endeavors. He adds “embrace collaboration, leverage available resources to their fullest, and never shy away from pursuing innovative approaches. Together, we can make meaningful contributions to scientific knowledge and societal well-being”.
His passion for research traces back to his childhood, when he was always curious and eager to understand how things worked. Growing up, he gravitated towards science and technology, often tinkering with computers and conducting small experiments. Over time, this curiosity evolved into a desire to pursue research as a career. “I find immense satisfaction in unraveling the mysteries of the natural world and contributing to advancements in knowledge and technology”, he expresses.
Aiming to be at the forefront of discovery is a constant in scientific research, he adopts innovative approaches and seeks unconventional paths. For example, he explores alternative hypotheses and leverages collaborations to access additional computational resources globally. Additionally, having a network of international collaborations, like the one he maintains with colleagues in Sweden, provides valuable opportunities to access diverse expertise and resources, ultimately enhancing the research outcomes.
While he is currently entrenched in academia, he remains open to opportunities in both academia and the private sector. Ultimately, his priority is to continue conducting impactful research wherever he can make the most significant contributions and pursue his passion for scientific exploration.
*The interview contains hyperlinks to four papers performed by Barroso da Silva using the OSG resources.