In this review, we outline recent advancements in small molecule drug design from a
structural perspective. We compare protein structure prediction methods and explore the …

Molecular dynamics (MD) simulations are a key computational chemistry technique that
provide dynamic insight into the underlying atomic-level processes in the system under …

Advancements in computational techniques have transformed glaucoma research, providing
a deeper understanding of genetics, disease mechanisms, and potential therapeutic targets …

Quantum computing is poised to revolutionize the pharmaceutical industry and dramatically
accelerate the drug discovery and development process. By harnessing the power of …

The pharmaceutical industry faces immense challenges in drug discovery and development,
including skyrocketing costs and lengthy timelines. Quantum machine learning simulation …

Abstract Machine learning and quantum mechanics represent two of the most transformative
technologies of the 21st century. In this paper, we propose a novel approach that brings …

The discovery and development of new pharmaceuticals is a lengthy and expensive
process. However, emerging technologies like quantum computing and microfluidics offer …

Drug development is a lengthy and expensive process, taking 10-15 years and costing over
$2 billion per approved drug. Two emerging technologies-quantum computing and machine …

Drug target identification is a crucial step in the drug discovery pipeline. With the increasing
availability of biological and chemical datasets, machine learning techniques have shown …