Eric P Xing
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Explore the profile of Eric P Xing including associated specialties, affiliations and a list of published articles.
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Recent Articles
1.
McNutt A, Adduri A, Ellington C, Dayao M, Xing E, Mohimani H, et al.
ArXiv
. 2025 Feb;
PMID: 39975427
Virtual screening of small molecules against protein targets can accelerate drug discovery and development by predicting drug-target interactions (DTIs). However, structure-based methods like molecular docking are too slow to allow...
2.
Adduri A, McNutt A, Ellington C, Suraparaju K, Fang N, Yan D, et al.
bioRxiv
. 2025 Jan;
PMID: 39868251
Natural products have long been a rich source of diverse and clinically effective drug candidates. Non-ribosomal peptides (NRPs), polyketides (PKs), and NRP-PK hybrids are three classes of natural products that...
3.
Fu X, Mo S, Buendia A, Laurent A, Shao A, Alvarez-Torres M, et al.
Nature
. 2025 Jan;
637(8047):965-973.
PMID: 39779852
Transcriptional regulation, which involves a complex interplay between regulatory sequences and proteins, directs all biological processes. Computational models of transcription lack generalizability to accurately extrapolate to unseen cell types and...
4.
Fu X, Mo S, Buendia A, Laurent A, Shao A, Alvarez-Torres M, et al.
bioRxiv
. 2024 Jul;
PMID: 39005360
Transcriptional regulation, involving the complex interplay between regulatory sequences and proteins, directs all biological processes. Computational models of transcription lack generalizability to accurately extrapolate in unseen cell types and conditions....
5.
Bai D, Ellington C, Mo S, Song L, Xing E
Bioinformatics
. 2024 Jun;
40(Suppl 1):i453-i461.
PMID: 38940174
Motivation: Genetic perturbations (e.g. knockouts, variants) have laid the foundation for our understanding of many diseases, implicating pathogenic mechanisms and indicating therapeutic targets. However, experimental assays are fundamentally limited by...
6.
Wang K, Zeng X, Liang X, Huo Z, Xing E, Xu M
BMVC
. 2023 Apr;
2018.
PMID: 37022329
Cellular Electron CryoTomography (CECT) is a 3D imaging technique that captures information about the structure and spatial organization of macromolecular complexes within single cells, in near-native state and at sub-molecular...
7.
Lavin A, Gilligan-Lee C, Visnjic A, Ganju S, Newman D, Ganguly S, et al.
Nat Commun
. 2022 Oct;
13(1):6039.
PMID: 36266298
The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. Lack of diligence can lead to technical...
8.
Wang H, Lopez O, Xing E, Wu W
J Comput Biol
. 2022 Oct;
29(12):1353-1356.
PMID: 36194088
We introduce the python software package Kernel Mixed Model (KMM), which allows users to incorporate the network structure into transcriptome-wide association studies (TWASs). Our software is based on the association...
9.
Zhang G, Luo Z, Cui K, Lu S, Xing E
IEEE Trans Pattern Anal Mach Intell
. 2022 Aug;
45(11):12832-12843.
PMID: 35917572
Few-shot object detection has been extensively investigated by incorporating meta-learning into region-based detection frameworks. Despite its success, the said paradigm is still constrained by several factors, such as (i) low-quality...
10.
Wang H, Aragam B, Xing E
J Comput Biol
. 2022 Mar;
29(3):233-242.
PMID: 35230156
Motivated by empirical arguments that are well known from the genome-wide association studies (GWAS) literature, we study the statistical properties of linear mixed models (LMMs) applied to GWAS. First, we...