Company Filing History:
Years Active: 2022-2025
Title: Innovations of Chongli Qin in Protein Structure Prediction
Introduction
Chongli Qin is a notable inventor based in London, GB, recognized for his contributions to the field of protein structure prediction. With a total of 4 patents, he has made significant advancements in utilizing geometry neural networks to enhance the accuracy of protein structure estimations.
Latest Patents
Chongli Qin's latest patents include groundbreaking methods for predicting protein structures. One of his notable inventions involves predicting protein structures using geometry neural networks that estimate the similarity between predicted and actual protein structures. This method comprises several iterations where an alternative predicted structure is determined, and a geometry neural network processes input data to generate an alternative geometry score. Another significant patent focuses on determining protein distance maps by combining distance map crops. This method generates a distance map for a given protein, characterizing estimated distances between amino acid residues in the protein's structure.
Career Highlights
Throughout his career, Chongli Qin has worked with prominent companies such as DeepMind Technologies Limited and GDM Holding LLC. His work in these organizations has contributed to the advancement of artificial intelligence and computational biology.
Collaborations
Chongli Qin has collaborated with notable professionals in his field, including Sven Adrian Gowal and Soham De. These collaborations have further enriched his research and innovations in protein structure prediction.
Conclusion
Chongli Qin's innovative work in protein structure prediction showcases his expertise and dedication to advancing scientific knowledge. His contributions are paving the way for future developments in the field.