Preprints

We present a novel machine learning approach for predicting protein structures with high accuracy. Our method combines deep learning techniques with evolutionary algorithms to achieve state-of-the-art results.

This study examines the impact of climate change on biodiversity hotspots around the world. We analyze temperature changes, precipitation patterns, and species distribution to assess the vulnerability of these critical ecosystems.

We review the current state of quantum computing and its potential applications in drug discovery. We discuss the challenges and opportunities in using quantum algorithms to accelerate the drug development process.

This survey provides a comprehensive overview of recent advancements in natural language processing. We cover topics such as transformer models, sentiment analysis, and machine translation.

We explore the role of the gut microbiome in human health and disease. We discuss the composition of the gut microbiome, its interactions with the host, and its impact on various diseases.