Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Zhong, Bozitao"'
Autor:
Hua, Chenqing, Zhong, Bozitao, Luan, Sitao, Hong, Liang, Wolf, Guy, Precup, Doina, Zheng, Shuangjia
Publikováno v:
38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks
Enzymes, with their specific catalyzed reactions, are necessary for all aspects of life, enabling diverse biological processes and adaptations. Predicting enzyme functions is essential for understanding biological pathways, guiding drug development,
Externí odkaz:
http://arxiv.org/abs/2408.13659
Accurate prediction of enzyme function is crucial for elucidating biological mechanisms and driving innovation across various sectors. Existing deep learning methods tend to rely solely on either sequence data or structural data and predict the EC nu
Externí odkaz:
http://arxiv.org/abs/2408.06391
Deep learning has become a crucial tool in studying proteins. While the significance of modeling protein structure has been discussed extensively in the literature, amino acid types are typically included in the input as a default operation for many
Externí odkaz:
http://arxiv.org/abs/2406.19755
Autor:
Tan, Yang, Li, Mingchen, Zhou, Bingxin, Zhong, Bozitao, Zheng, Lirong, Tan, Pan, Zhou, Ziyi, Yu, Huiqun, Fan, Guisheng, Hong, Liang
Fine-tuning Pre-trained protein language models (PLMs) has emerged as a prominent strategy for enhancing downstream prediction tasks, often outperforming traditional supervised learning approaches. As a widely applied powerful technique in natural la
Externí odkaz:
http://arxiv.org/abs/2404.14850
The protein dynamics are common and important for their biological functions and properties, the study of which usually involves time-consuming molecular dynamics (MD) simulations in silico. Recently, generative models has been leveraged as a surroga
Externí odkaz:
http://arxiv.org/abs/2402.10433
Autor:
Wang, Chuanrui, Zhong, Bozitao, Zhang, Zuobai, Chaudhary, Narendra, Misra, Sanchit, Tang, Jian
Structure-based protein design has attracted increasing interest, with numerous methods being introduced in recent years. However, a universally accepted method for evaluation has not been established, since the wet-lab validation can be overly time-
Externí odkaz:
http://arxiv.org/abs/2312.00080
The dynamic nature of proteins is crucial for determining their biological functions and properties, for which Monte Carlo (MC) and molecular dynamics (MD) simulations stand as predominant tools to study such phenomena. By utilizing empirically deriv
Externí odkaz:
http://arxiv.org/abs/2306.03117
Proteins play a critical role in carrying out biological functions, and their 3D structures are essential in determining their functions. Accurately predicting the conformation of protein side-chains given their backbones is important for application
Externí odkaz:
http://arxiv.org/abs/2306.01794
Proteins are macromolecules that perform essential functions in all living organisms. Designing novel proteins with specific structures and desired functions has been a long-standing challenge in the field of bioengineering. Existing approaches gener
Externí odkaz:
http://arxiv.org/abs/2210.08761
In silico prediction of the ligand binding pose to a given protein target is a crucial but challenging task in drug discovery. This work focuses on blind flexible selfdocking, where we aim to predict the positions, orientations and conformations of d
Externí odkaz:
http://arxiv.org/abs/2210.06069