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.
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Univ Missouri, Dept Comp Sci, Columbia, MO 65211 USAUniv Missouri, Dept Comp Sci, Columbia, MO 65211 USA
Wang, Zheng
Eickholt, Jesse
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Univ Missouri, Dept Comp Sci, Columbia, MO 65211 USAUniv Missouri, Dept Comp Sci, Columbia, MO 65211 USA
Eickholt, Jesse
Cheng, Jianlin
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Univ Missouri, Dept Comp Sci, Columbia, MO 65211 USA
Univ Missouri, Inst Informat, Columbia, MO 65211 USA
Univ Missouri, C Bond Life Sci Ctr, Columbia, MO 65211 USAUniv Missouri, Dept Comp Sci, Columbia, MO 65211 USA
机构:
Renmin Univ China, Inst Math Sci, Math Intelligence Applicat Lab, Beijing 100872, Peoples R ChinaRenmin Univ China, Inst Math Sci, Math Intelligence Applicat Lab, Beijing 100872, Peoples R China
Sun, Daiwen
Liu, Shijie
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Renmin Univ China, Inst Math Sci, Math Intelligence Applicat Lab, Beijing 100872, Peoples R ChinaRenmin Univ China, Inst Math Sci, Math Intelligence Applicat Lab, Beijing 100872, Peoples R China
Liu, Shijie
Gong, Xinqi
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Renmin Univ China, Inst Math Sci, Math Intelligence Applicat Lab, Beijing 100872, Peoples R China
Tshinghua Univ, Beijing Adv Innovat Ctr Struct Biol, Beijing 100094, Peoples R ChinaRenmin Univ China, Inst Math Sci, Math Intelligence Applicat Lab, Beijing 100872, Peoples R China