Computational Mathematics, Science & Engineering · Michigan State University

Hou Lab

AI and machine learning for biomolecular structure, omics, and health

57Publications
24h-index
22h-index since 2019
The complete and continuously updated list of published work is available in NCBI My Bibliography and on Google Scholar. Selected publications are grouped by topic below (most recent first); Dr. Hou's name is highlighted.
  • 2024
    Exploring the efficiency of deep graph neural networks for RNA secondary structure prediction
    Hou Lab team
    International Conference on Intelligent Biology and Medicine (ICIBM 2024), oral presentation; recommended for journal submission
  • 2023
    Protein Structure Refinement via DeepTracer and AlphaFold2
    Chen J, Zia A, Hou J, Wang F, Cao R, Si D
    Briefings in Bioinformatics (bioRxiv 2023.08.16.553616)
  • 2023
    Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps
    Nakamura A, Meng H, Zhao M, Wang F, Hou J, Cao R, Si D
    Briefings in Bioinformatics 24(2):bbac632
  • 2023
    AnglesRefine: refinement of 3D protein structures using Transformer based on torsion angles
    Zhang L, Zhu J, Wang S, Hou J, Si D, Cao R
    bioRxiv 2023-07; presented at ACM SIGKDD BioKDD 2023
  • 2022
    Artificial intelligence advances for de novo molecular structure modeling in cryo-electron microscopy
    Si D, Nakamura A, Tang R, Guan H, Hou J, Firozi A, Cao R, Hippe K, Zhao M
    WIREs Computational Molecular Science 12(2):e1542
  • 2022
    Improving protein tertiary structure prediction by deep learning and distance prediction in CASP14
    Liu J, Wu T, Guo Z, Hou J, Cheng J
    Proteins 90(1):58–72
  • 2021
    Protein model accuracy estimation empowered by deep learning and inter-residue distance prediction in CASP14
    Chen X, Liu J, Guo Z, Wu T, Hou J, Cheng J
    Scientific Reports 11:1–12
  • 2021
    Improving deep learning-based protein distance prediction in CASP14
    Guo Z, Wu T, Liu J, Hou J, Cheng J
    Bioinformatics 37(19):3190–3196
  • 2021
    Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge
    Lawson CL, Kryshtafovych A, Adams PD, Afonine PV, Baker ML, Barad BA, Bond P, Burnley T, Cao R, Cheng J, et al.
    Nature Methods 18(2):156–164
  • 2021
    DeepDist: real-value inter-residue distance prediction with deep residual convolutional network
    Wu T, Guo Z, Hou J, Cheng J
    BMC Bioinformatics 22:1–17
  • 2021
    DISTEVAL: A web server for evaluating predicted protein distances
    Adhikari B, Shrestha B, Bernardini M, Hou J, Lea J
    BMC Bioinformatics 22:1–9
  • 2021
    DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks
    Chen C, Hou J, Shi X, Yang H, Birchler JA, Cheng J
    BMC Bioinformatics 22:1–18
  • 2021
    DNSS2: improved ab initio protein secondary structure prediction using advanced deep learning architectures
    Guo Z, Hou J, Cheng J
    Proteins 89(2):207–217
  • 2020
    SAXSDom: Modeling multidomain protein structures using small-angle X-ray scattering data
    Hou J, Adhikari B, Tanner JJ, Cheng J
    Proteins 88(6):775–787. PMID 31860156
  • 2020
    Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps
    Si D, Moritz SA, Pfab J, Hou J, Cao R, Wang L, Wu T, Cheng J
    Scientific Reports 10:4282. PMID 32152330
  • 2020
    Analysis of several key factors influencing deep learning-based inter-residue contact prediction
    Wu T, Hou J, Adhikari B, Cheng J
    Bioinformatics 36(4):1091–1098. PMID 31504181
  • 2019
    The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
    Zhou N, et al. (CAFA consortium, incl. Hou J)
    Genome Biology 20:244. PMID 31744546
  • 2019
    Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment
    Lensink MF, et al. (CASP13-CAPRI consortium, incl. Hou J)
    Proteins 87(12):1200–1221. PMID 31612567
  • 2019
    Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13
    Hou J, Wu T, Cao R, Cheng J
    Proteins 87(12):1165–1178. PMID 30985027
  • 2018
    An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12
    Keasar C, et al. (WeFold consortium, incl. Hou J)
    Scientific Reports 8:9939. PMID 29967418
  • 2018
    DNCON2: improved protein contact prediction using two-level deep convolutional neural networks
    Adhikari B, Hou J, Cheng J
    Bioinformatics 34(9):1466–1472. PMID 29228185
  • 2018
    DeepSF: deep convolutional neural network for mapping protein sequences to folds
    Hou J, Adhikari B, Cheng J
    Bioinformatics 34(8):1295–1303. PMID 29228193
  • 2018
    Protein contact prediction by integrating deep multiple sequence alignments, coevolution and machine learning
    Adhikari B, Hou J, Cheng J
    Proteins 86(S1):84–96. PMID 29047157
  • 2017
    Deep learning methods for protein torsion angle prediction
    Li H, Hou J, Adhikari B, Lyu Q, Cheng J
    BMC Bioinformatics 18:417. PMID 28923002
  • 2016
    ConEVA: a toolbox for comprehensive assessment of protein contacts
    Adhikari B, Nowotny J, Bhattacharya D, Hou J, Cheng J
    BMC Bioinformatics 17:517. PMID 27923350
  • 2015
    Improving Protein Fold Recognition by Deep Learning Networks
    Jo T, Hou J, Eickholt J, Cheng J
    Scientific Reports 5:17573. PMID 26634993
  • 2023
    ComplexQA: A deep graph learning approach for protein complex structure assessment
    Zhang L, Wang S, Hou J, Si D, Zhu J, Cao R
    Briefings in Bioinformatics 24(6):bbad287
  • 2022
    Deep graph learning to estimate protein model quality using structural constraints from multiple sequence alignments
    Rahbar M, Chauhan RK, Shah PN, Cao R, Si D, Hou J
    Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB), 1–10
  • 2022
    ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features
    Hippe K, Lilley C, Berkenpas JW, Chandana Pocha C, Kishaba K, Ding H, Hou J, Si D, Cao R
    Briefings in Bioinformatics 23(1):bbab384
  • 2019
    Estimation of model accuracy in CASP13
    Cheng J, Choe MH, Elofsson A, Han KS, Hou J, Maghrabi AHA, McGuffin LJ, Menendez-Hurtado D, Olechnovic K, Schwede T, Studer G, Uziela K, Venclovas C, Wallner B
    Proteins 87(12):1361–1377. PMID 31265154
  • 2017
    QAcon: single model quality assessment using protein structural and contact information with machine learning techniques
    Cao R, Adhikari B, Bhattacharya D, Sun M, Hou J, Cheng J
    Bioinformatics 33(4):586–588. PMID 28035027
  • 2016
    DeepQA: improving the estimation of single protein model quality with deep belief networks
    Cao R, Bhattacharya D, Hou J, Cheng J
    BMC Bioinformatics 17:495. PMID 27919220
  • 2023
    A novel f-divergence based generative adversarial imputation method for scRNA-seq data analysis
    Si T, Hopkins Z, Yanev J, Hou J, Gong H
    PLOS ONE 18(11):e0292792
  • 2023
    Genomic imbalance modulates transposable element expression in maize
    Yang H, Shi X, Chen C, Hou J, Ji T, Cheng J, Birchler JA
    Plant Communications 4(2)
  • 2022
    Dosage-sensitive miRNAs trigger modulation of gene expression during genomic imbalance in maize
    Shi X, Yang H, Chen C, Hou J, Ji T, Cheng J, Birchler JA
    Nature Communications 13:3014
  • 2022
    Effect of aneuploidy of a non-essential chromosome on gene expression in maize
    Shi X, Yang H, Chen C, Hou J, Ji T, Cheng J, Birchler JA
    The Plant Journal 110(1):193–211
  • 2021
    Sequence of the supernumerary B chromosome of maize provides insight into its drive mechanism and evolution
    Blavet N, Yang H, Su H, Solanský P, Douglas RN, Karafiátová M, Šimková L, Zhang J, Liu Y, Hou J, Shi X
    Proceedings of the National Academy of Sciences 118(23):e2104254118
  • 2021
    Genomic imbalance determines positive and negative modulation of gene expression in diploid maize
    Shi X, Yang H, Chen C, Hou J, Hanson KM, Albert PS, et al., Birchler JA
    The Plant Cell 33(4):917–939
  • 2021
    Predominantly inverse modulation of gene expression in genomically unbalanced disomic haploid maize
    Yang H, Shi X, Chen C, Hou J, Ji T, Cheng J, Birchler JA
    The Plant Cell 33(4):901–916
  • 2020
    Bioinformatics methods for mass spectrometry-based proteomics data analysis
    Chen C, Hou J, Tanner JJ, Cheng J
    International Journal of Molecular Sciences 21(8):2873
  • 2020
    GNET2: An R package for constructing gene regulatory networks from transcriptomic data
    Chen C, Hou J, Shi X, Yang H, Birchler JA, Cheng J
    Bioinformatics
  • 2020
    The renoprotective effects of soy protein in the aging kidney
    Grunz-Borgmann EA, Nicholas LA, Spagnoli S, Trzeciakowski JP, Valliyodan B, Hou J, Li J, Cheng J, et al., Parrish AR
    Medical Research Archives 8(3)
  • 2020
    Heme oxygenase promotes B-Raf-dependent melanosphere formation
    Jasmer KJ, Hou J, Mannino P, Cheng J, Hannink M
    Pigment Cell & Melanoma Research. PMID 32558263
  • 2020
    Magnitude of modulation of gene expression in aneuploid maize depends on the extent of genomic imbalance
    Johnson AF, Hou J, Yang H, Shi X, Chen C, Islam MS, Ji T, Cheng J, Birchler JA
    Journal of Genetics and Genomics 47(2):93–103. PMID 32178980
  • 2020
    The Gene Balance Hypothesis: Epigenetics and Dosage Effects in Plants
    Shi X, Chen C, Yang H, Hou J, Ji T, Cheng J, Veitia RA, Birchler JA
    Methods in Molecular Biology 2093:161–171. PMID 32088896
  • 2019
    PairedFB: a full hierarchical Bayesian model for paired RNA-seq data with heterogeneous treatment effects
    Bian Y, He C, Hou J, Cheng J, Qiu J
    Bioinformatics 35(5):787–797. PMID 30753300
  • 2019
    From Analysis of Ischemic Mouse Brain Proteome to Identification of Human Serum Clusterin as a Potential Biomarker for Severity of Acute Ischemic Stroke
    Song H, Zhou H, Qu Z, Hou J, Chen W, Cai W, et al., Gu Z
    Translational Stroke Research 10(5):546–556. PMID 30465328
  • 2018
    Global impacts of chromosomal imbalance on gene expression in Arabidopsis and other taxa
    Hou J, Shi X, Chen C, Islam MS, Johnson AF, Kanno T, Huettel B, Yen MR, Hsu FM, Ji T, Chen PY, Matzke M, Matzke AJM, Cheng J, Birchler JA
    Proceedings of the National Academy of Sciences 115(48):E11321–E11330. PMID 30429332
  • 2017
    Genetic dissection of Arabidopsis MAP kinase phosphatase 1-dependent PAMP-induced transcriptional responses
    Jiang L, Wan Y, Anderson JC, Hou J, Islam SM, Cheng J, Peck SC
    Journal of Experimental Botany 68(18):5207–5220. PMID 29045691
  • 2016
    Effects of aged garlic extract and FruArg on gene expression and signaling pathways in lipopolysaccharide-activated microglial cells
    Song H, Lu Y, Qu Z, Mossine VV, Martin MB, Hou J, Cui J, et al., Gu Z
    Scientific Reports 6:35323. PMID 27734935
  • 2016
    An overview of bioinformatics methods for modeling biological pathways in yeast
    Hou J, Acharya L, Zhu D, Cheng J
    Briefings in Functional Genomics 15(2):95–108. PMID 26476430
  • 2015
    Exploring soybean metabolic pathways based on probabilistic graphical model and knowledge-based methods
    Hou J, Stacey G, Cheng J
    EURASIP Journal on Bioinformatics and Systems Biology 2015:5. PMID 28194174
  • 2015
    From Gigabyte to Kilobyte: A Bioinformatics Protocol for Mining Large RNA-Seq Transcriptomics Data
    Li J, Hou J, Sun L, Wilkins JM, Lu Y, Niederhuth CE, Merideth BR, Mawhinney TP, Mossine VV, Greenlief CM, Walker JC, Folk WR, Hannink M, Lubahn DB, Birchler JA, Cheng J
    PLOS ONE 10(4):e0125000. PMID 25902288
  • 2025
    Teaching Coding in the Age of AI: A Hands-on Tutorial on Process Feedback
    Adhikari B, Hou J
    Proceedings of the 56th ACM Technical Symposium on Computer Science Education (SIGCSE TS), V.2
  • 2025
    Improving Warfarin Therapy Safety with Accurate International Normalized Ratio (INR) Prediction Algorithms
    Hou J, et al.
    33rd Congress of the International Society on Thrombosis and Haemostasis (ISTH 2025), poster presentation
  • 2023
    A Stealthy Inference Attack on Split Learning with a Split-Fuse Defensive Measure
    Dougherty S, Kumar A, Hou J, Tourani R, Tabakhi AM
    2023 IEEE Conference on Communications and Network Security (CNS), 1–9
  • 2023
    22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023)
    Yan D, Azad A, Hou J, Chen JY, Zaki MJ
    Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 5897–5898