Xutong Li
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Explore the profile of Xutong Li including associated specialties, affiliations and a list of published articles.
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68
Citations
757
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Recent Articles
1.
Wen Y, Xu P, Chen Y, Meng J, Zheng M, Zhang S, et al.
Mol Divers
. 2025 Feb;
PMID: 39946082
The p53 Y220C mutation, a prevalent structural variant in human cancers, compromises DNA binding and tumor suppressor functions by destabilizing the protein structure. Leveraging a combined approach of structure-based virtual...
2.
Cao D, Chen M, Zhang R, Wang Z, Huang M, Yu J, et al.
Nat Methods
. 2024 Nov;
22(2):310-322.
PMID: 39604569
Accurately predicting protein-ligand interactions is crucial for understanding cellular processes. We introduce SurfDock, a deep-learning method that addresses this challenge by integrating protein sequence, three-dimensional structural graphs and surface-level features...
3.
Wu X, Zhang L, Tong X, Wang Y, Zhang Z, Kong X, et al.
Brief Bioinform
. 2024 Nov;
26(1).
PMID: 39592153
MicroRNAs (miRNAs) are critical regulators in various biological processes to cleave or repress translation of messenger RNAs (mRNAs). Accurately predicting miRNA targets is essential for developing miRNA-based therapies for diseases...
4.
Li X, Liu J, Zhao L, Gu H, He Y
Aging (Albany NY)
. 2024 Nov;
16(21):13371-13391.
PMID: 39537209
Background: Recent discoveries in hepatocellular carcinoma (HCC) unveil key molecules. However, due to liver cancer's high heterogeneity, predicting patient prognosis is challenging. This study aims to construct a model for...
5.
Zhang Y, Xie Z, Xiao F, Yu J, Fan Z, Sun S, et al.
Mol Pharm
. 2024 Nov;
21(12):6177-6192.
PMID: 39508275
Pharmacokinetic (PK) properties of a drug are vital attributes influencing its therapeutic effectiveness, playing an important role in the drug development process. Focusing on the difficult task of predicting PK...
6.
Zhang F, Liu J, Zhou M, Li X, Yue L, Zhao C, et al.
Med Dosim
. 2024 Nov;
PMID: 39500646
The goal of this study was to investigate the variability of target volume and parotid gland dose distribution for nasopharyngeal carcinoma (NPC), and to explore the shifting patterns of parotid...
7.
Ni S, Kong X, Zhang Y, Chen Z, Wang Z, Fu Z, et al.
Cell Genom
. 2024 Sep;
4(10):100655.
PMID: 39303708
The emergence of perturbation transcriptomics provides a new perspective for drug discovery, but existing analysis methods suffer from inadequate performance and limited applicability. In this work, we present PertKGE, a...
8.
Yu L, Moorthy S, Li X, Peng L, Zhang Z, Shen L, et al.
Arch Dermatol Res
. 2024 Aug;
316(8):532.
PMID: 39154106
Androgenetic alopecia (AGA) is a common type of hair loss in men and efficacy and safety of current medical treatment remain limited. Therefore, the present study aimed to investigate the...
9.
Liu J, Gui Y, Rao J, Sun J, Wang G, Ren Q, et al.
Acta Pharm Sin B
. 2024 Jul;
14(7):2927-2941.
PMID: 39027254
Ensuring drug safety in the early stages of drug development is crucial to avoid costly failures in subsequent phases. However, the economic burden associated with detecting drug off-targets and potential...
10.
Fan Z, Yu J, Zhang X, Chen Y, Sun S, Zhang Y, et al.
Patterns (N Y)
. 2024 Jul;
5(6):100991.
PMID: 39005492
Deep-learning-based classification models are increasingly used for predicting molecular properties in drug development. However, traditional classification models using the Softmax function often give overconfident mispredictions for out-of-distribution samples, highlighting a...