Enhancing alphafold-multimer-based protein complex structure prediction with MULTICOM in CASP15

被引:0
|
作者
Jian Liu
Zhiye Guo
Tianqi Wu
Raj S. Roy
Farhan Quadir
Chen Chen
Jianlin Cheng
机构
[1] University of Missouri,Department of Electrical Engineering and Computer Science, NextGen Precision Health Institute
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
To enhance the AlphaFold-Multimer-based protein complex structure prediction, we developed a quaternary structure prediction system (MULTICOM) to improve the input fed to AlphaFold-Multimer and evaluate and refine its outputs. MULTICOM samples diverse multiple sequence alignments (MSAs) and templates for AlphaFold-Multimer to generate structural predictions by using both traditional sequence alignments and Foldseek-based structure alignments, ranks structural predictions through multiple complementary metrics, and refines the structural predictions via a Foldseek structure alignment-based refinement method. The MULTICOM system with different implementations was blindly tested in the assembly structure prediction in the 15th Critical Assessment of Techniques for Protein Structure Prediction (CASP15) in 2022 as both server and human predictors. MULTICOM_qa ranked 3rd among 26 CASP15 server predictors and MULTICOM_human ranked 7th among 87 CASP15 server and human predictors. The average TM-score of the first predictions submitted by MULTICOM_qa for CASP15 assembly targets is ~0.76, 5.3% higher than ~0.72 of the standard AlphaFold-Multimer. The average TM-score of the best of top 5 predictions submitted by MULTICOM_qa is ~0.80, about 8% higher than ~0.74 of the standard AlphaFold-Multimer. Moreover, the Foldseek Structure Alignment-based Multimer structure Generation (FSAMG) method outperforms the widely used sequence alignment-based multimer structure generation.
引用
收藏
相关论文
共 43 条
  • [21] Combining pairwise structural similarity and deep learning interface contact prediction to estimate protein complex model accuracy in CASP15
    Roy, Raj S.
    Liu, Jian
    Giri, Nabin
    Guo, Zhiye
    Cheng, Jianlin
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2023, 91 (12) : 1889 - 1902
  • [22] Advancing RNA 3D structure prediction: Exploring hierarchical and hybrid approaches in CASP15
    Li, Jun
    Zhang, Sicheng
    Chen, Shi-Jie
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2023, 91 (12) : 1779 - 1789
  • [23] MULTICOM: a multi-level combination approach to protein structure prediction and its assessments in CASP8
    Wang, Zheng
    Eickholt, Jesse
    Cheng, Jianlin
    BIOINFORMATICS, 2010, 26 (07) : 882 - 888
  • [24] Review of multimer protein–protein interaction complex topology and structure prediction
    孙黛雯
    刘世婕
    龚新奇
    Chinese Physics B, 2020, 29 (10) : 57 - 66
  • [25] Review of multimer protein-protein interaction complex topology and structure prediction*
    Sun, Daiwen
    Liu, Shijie
    Gong, Xinqi
    CHINESE PHYSICS B, 2020, 29 (10)
  • [26] Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer
    Karakoyun, Hilal Keskin
    Yuksel, Sirin K.
    Amanoglu, Ilayda
    Naserikhojasteh, Lara
    Yesilyurt, Ahmet
    Yakicier, Cengiz
    Timucin, Emel
    Akyerli, Cemaliye. B.
    FRONTIERS IN GENETICS, 2023, 14
  • [27] Analysis of TASSER-based CASP7 protein structure prediction results
    Zhou, Hongyi
    Pandit, Shashi B.
    Lee, Seung Yup
    Borreguero, Jose
    Chen, Huiling
    Wroblewska, Liliana
    Skolnick, Jeffrey
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2007, 69 : 90 - 97
  • [28] A novel view of the insulin signaling pathway based on prediction of protein structure by the AI platform AlphaFold
    Sato, Kyosuke
    Sugawara, Kenji
    Ogawa, Wataru
    JOURNAL OF DIABETES INVESTIGATION, 2023, 14 (05) : 635 - 639
  • [29] Empirical limits for template-based protein structure prediction: the CASP5 example
    Contreras-Moreira, B
    Ezkurdia, I
    Tress, ML
    Valencia, A
    FEBS LETTERS, 2005, 579 (05): : 1203 - 1207
  • [30] Analysis of distance-based protein structure prediction by deep learning in CASP13
    Xu, Jinbo
    Wang, Sheng
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2019, 87 (12) : 1069 - 1081