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PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations.
Iqbal, Shahid; Ge, Fang; Li, Fuyi; Akutsu, Tatsuya; Zheng, Yuanting; Gasser, Robin B; Yu, Dong-Jun; Webb, Geoffrey I; Song, Jiangning.
Affiliation
  • Iqbal S; Department of Data Science and AI, Faculty of IT, Monash University, Clayton, Victoria 3800, Australia.
  • Ge F; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia.
  • Li F; Monash Data Futures Institute, Monash University, Clayton, Victoria 3800, Australia.
  • Akutsu T; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
  • Zheng Y; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia.
  • Gasser RB; Monash Data Futures Institute, Monash University, Clayton, Victoria 3800, Australia.
  • Yu DJ; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto 611-0011, Japan.
  • Webb GI; Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia.
  • Song J; Department of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria 3010, Australia.
J Chem Inf Model ; 62(17): 4270-4282, 2022 09 12.
Article in En | MEDLINE | ID: mdl-35973091
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Zygote Intrafallopian Transfer / Mutation, Missense Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2022 Type: Article Affiliation country: Australia
Fulltext
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PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Zygote Intrafallopian Transfer / Mutation, Missense Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2022 Type: Article Affiliation country: Australia