Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Wang, Menglun"'
Autor:
Shen, Zhaiming, Wang, Menglun, Cheng, Guang, Lai, Ming-Jun, Mu, Lin, Huang, Ruihao, Liu, Qi, Zhu, Hao
Being able to successfully determine whether the testing samples has similar distribution as the training samples is a fundamental question to address before we can safely deploy most of the machine learning models into practice. In this paper, we pr
Externí odkaz:
http://arxiv.org/abs/2405.03060
Autor:
Wang, Menglun1,2 (AUTHOR) wangmenglun@126.com, Wang, Jialin3 (AUTHOR), Liang, Pei4 (AUTHOR), Wu, Kongming5 (AUTHOR) wukongming@caas.cn
Publikováno v:
Insects (2075-4450). Feb2024, Vol. 15 Issue 2, p138. 9p.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectivity is a major concern in coronavirus disease 2019 (COVID-19) prevention and economic reopening. However, rigorous determination of SARS-COV-2 infectivity is essentially impossible
Externí odkaz:
http://arxiv.org/abs/2005.14669
We present the performances of our mathematical deep learning (MathDL) models for D3R Grand Challenge 4 (GC4). This challenge involves pose prediction, affinity ranking, and free energy estimation for beta secretase 1 (BACE) as well as affinity ranki
Externí odkaz:
http://arxiv.org/abs/1909.07784
Recent years have witnessed a trend that advanced mathematical tools, such as algebraic topology, differential geometry, graph theory, and partial differential equations, have been developed for describing biological macromolecules. These tools have
Externí odkaz:
http://arxiv.org/abs/1908.00572
Publikováno v:
Communications in Information and Systems, 2018
Motivation: Surface generation and visualization are some of the most important tasks in biomolecular modeling and computation. Eulerian solvent excluded surface (ESES) software provides analytical solvent excluded surface (SES) in the Cartesian grid
Externí odkaz:
http://arxiv.org/abs/1809.04352
Advanced mathematics, such as multiscale weighted colored graph and element specific persistent homology, and machine learning including deep neural networks were integrated to construct mathematical deep learning models for pose and binding affinity
Externí odkaz:
http://arxiv.org/abs/1804.10647
Protein-ligand binding is essential to almost all life processes. The understanding of protein-ligand interactions is fundamentally important to rational drug design and protein design. Based on large scale data sets, we show that protein rigidity st
Externí odkaz:
http://arxiv.org/abs/1704.05883
Autor:
Wang, Menglun1,2 (AUTHOR), Zhu, Bin1 (AUTHOR), Zhang, Lei3 (AUTHOR), Xiao, Yutao3 (AUTHOR), Liang, Pei1 (AUTHOR) liangcau@cau.edu.cn, Wu, Kongming2 (AUTHOR) wukongming@caas.cn
Publikováno v:
Insect Science. Apr2022, Vol. 29 Issue 2, p496-504. 9p.
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