Bingxin Zhou
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Explore the profile of Bingxin Zhou including associated specialties, affiliations and a list of published articles.
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25
Citations
64
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Recent Articles
1.
Kang L, Wu B, Zhou B, Tan P, Kang Y, Yan Y, et al.
Elife
. 2025 Feb;
13.
PMID: 39968946
Artificial intelligence (AI) models have been used to study the compositional regularities of proteins in nature, enabling it to assist in protein design to improve the efficiency of protein engineering...
2.
Zhou B, Tan Y, Hu Y, Zheng L, Zhong B, Hong L
mLife
. 2025 Jan;
3(4):477-491.
PMID: 39744096
Advances in deep learning have significantly aided protein engineering in addressing challenges in industrial production, healthcare, and environmental sustainability. This review frames frequently researched problems in protein understanding and engineering...
3.
Cao X, Tang Q, Zhou B, Xiao W, Chen H
J Orthop Surg Res
. 2024 Dec;
19(1):838.
PMID: 39695731
Background: To compare the efficacy of intramedullary nailing via the lateral parapatellar approach versus the infrapatellar approach in treating fractures at the tibial metaphyseal-diaphyseal junction. Methods: A retrospective analysis was...
4.
Zhou B, Zheng L, Wu B, Yi K, Zhong B, Tan Y, et al.
Cell Discov
. 2024 Sep;
10(1):95.
PMID: 39251570
Deep learning-based methods for generating functional proteins address the growing need for novel biocatalysts, allowing for precise tailoring of functionalities to meet specific requirements. This advancement leads to the development...
5.
Zheng L, Zhou B, Wu B, Tan Y, Huang J, Tyagi M, et al.
Elife
. 2024 Aug;
13.
PMID: 39158544
The protein dynamical transition at ~200 K, where the biomolecule transforms from a harmonic, non-functional form to an anharmonic, functional state, has been thought to be slaved to the thermal...
6.
Tan Y, Li M, Zhou B, Zhong B, Zheng L, Tan P, et al.
J Chem Inf Model
. 2024 Aug;
64(16):6338-6349.
PMID: 39110130
Fine-tuning pretrained 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...
7.
Lv O, Zhou B, Yang L
Neural Netw
. 2024 May;
177:106387.
PMID: 38788292
In modern Reinforcement Learning (RL) approaches, optimizing the Bellman error is a critical element across various algorithms, notably in deep Q-Learning and related methodologies. Traditional approaches predominantly employ the mean-squared...
8.
Meng L, Zhang Y, Wang J, Zhou B, Shi J, Zhang H
Food Chem
. 2024 Apr;
450:139261.
PMID: 38657344
This study employed an innovative copper oxide/cuprous oxide (CuO/CuO) polyhedron‑cadmium sulphide quantum dots (CdS QDs) double Z-scheme heterostructure as a matrix for the cathodic PEC determination of mercury ions (Hg)....
9.
Zheng L, Zhou B, Yang Y, Zan B, Zhong B, Wu B, et al.
Chem Sci
. 2024 Apr;
15(15):5612-5626.
PMID: 38638240
Prokaryotic Argonaute (pAgo) proteins, a class of DNA/RNA-guided programmable endonucleases, have been extensively utilized in nucleic acid-based biosensors. The specific binding and cleavage of nucleic acids by pAgo proteins, which...
10.
Zhou B, Zheng L, Wu B, Tan Y, Lv O, Yi K, et al.
J Chem Inf Model
. 2024 Apr;
64(9):3650-3661.
PMID: 38630581
Protein engineering faces challenges in finding optimal mutants from a massive pool of candidate mutants. In this study, we introduce a deep-learning-based data-efficient fitness prediction tool to steer protein engineering....