Siqi Liang
Siqi Liang
Akuna Capital; PhD in Computational Biology, Cornell University
Verified email at
Cited by
Cited by
Interactome INSIDER: a structural interactome browser for genomic studies
MJ Meyer, JF Beltrán, S Liang, R Fragoza, A Rumack, J Liang, X Wei, ...
Nature methods 15 (2), 107-114, 2018
SAAMBE-3D: predicting effect of mutations on protein–protein interactions
S Pahari, G Li, AK Murthy, S Liang, R Fragoza, H Yu, E Alexov
International journal of molecular sciences 21 (7), 2563, 2020
Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations
R Fragoza, J Das, SD Wierbowski, J Liang, TN Tran, S Liang, JF Beltran, ...
Nature communications 10 (1), 4141, 2019
Leveraging genetic interaction for adverse drug-drug interaction prediction
S Qian, S Liang, H Yu
PLoS computational biology 15 (5), e1007068, 2019
A 3D structural SARS-CoV-2–human interactome to explore genetic and drug perturbations
SD Wierbowski, S Liang, Y Liu, Y Chen, S Gupta, NM Andre, SM Lipkin, ...
Nature methods 18 (12), 1477-1488, 2021
SAAMBE-SEQ: a sequence-based method for predicting mutation effect on protein–protein binding affinity
G Li, S Pahari, AK Murthy, S Liang, R Fragoza, H Yu, E Alexov
Bioinformatics 37 (7), 992-999, 2021
Deep learning methods for 3D structural proteome and interactome modeling
D Lee, D Xiong, S Wierbowski, L Li, S Liang, H Yu
Current opinion in structural biology 73, 102329, 2022
Revealing new therapeutic opportunities through drug target prediction: a class imbalance-tolerant machine learning approach
S Liang, H Yu
Bioinformatics 36 (16), 4490-4497, 2020
iRegNet3D: three-dimensional integrated regulatory network for the genomic analysis of coding and non-coding disease mutations
S Liang, ND Tippens, Y Zhou, M Mort, PD Stenson, DN Cooper, H Yu
Genome biology 18, 1-16, 2017
PIVOTAL: Prioritizing variants of uncertain significance with spatial genomic patterns in the 3D proteome
S Liang, M Mort, PD Stenson, DN Cooper, H Yu
bioRxiv, 2020.06. 04.135103, 2020
Extracting complementary insights from molecular phenotypes for prioritization of disease-associated mutations
SD Wierbowski, R Fragoza, S Liang, H Yu
Current opinion in systems biology 11, 107-116, 2018
Structurally-informed human interactome reveals proteome-wide perturbations by disease mutations
D Xiong, Y Qiu, J Zhao, Y Zhou, D Lee, S Gupta, M Torres, W Lu, S Liang, ...
bioRxiv, 2023
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