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SAMPL: Boosting Drug Design with Blind Computational Challenges
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Explore the evolution of data science applications in pharmaceutical research, highlighting how both open-source and commercial tools are reshaping the future of personalized medicine and streamlined drug development processes.
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Technology constantly evolves, but when and how does a new technology displace and replace an established one?
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In the drug discovery world, AlphaFold2 is now almost synonymous with solving one of the most elusive problems in computational biology and chemistry: protein folding.
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Discover how BIOVIA ONE Lab revolutionizes laboratory operations, offering a comprehensive, secure, and collaborative platform to seamlessly integrate and optimize workflows with external partners and clients for enhanced efficiency and innovation.
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In the ever-evolving landscape of drug discovery, innovative entities like PROTACs and molecular glues are reshaping the way we approach therapeutic development...
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The pKa of an acid is a measure of its strength, which is a crucial factor in its reactivity. Accurately predicting pKa values allows us to understand the relative reactivity of ...
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As machine learning techniques increasingly influence chemical research, the issue of accessibility persists, especially with the prevalence of coding-centric solutions. BIOVIA Pipeline Pilot stands out as an inclusive tool, empowering scientists who may lack coding expertise to leverage advanced machine learning methods.
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The rising concentration of CO2 in the atmosphere, primarily caused by human activities, is a significant driver of global warming. CO2 amplifies the greenhouse effect by absorbing infrared radiation, resulting in adverse climate changes that can increase the probability and severity of natural disasters like wildfires, heat waves, droughts, and storm surges.
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Cultivated meat, plant-based protein, and fermented protein constitute a class of alternative proteins to replace traditional meat from productive livestock. This new trend in nutrition is causing controversy but also creates hope to address more fundamental challenges facing humanity today.
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Artificial intelligence (AI) in healthcare has many challenges to overcome, but it is already tackling – and beating – thorny issues that have plagued the industry for decades.
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