CATH 2024: CATH-AlphaFlow Doubles the Number of Structures in CATH and Reveals Nearly 200 New Folds

IF 4.7 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
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Abstract

CATH (https://www.cathdb.info) classifies domain structures from experimental protein structures in the PDB and predicted structures in the AlphaFold Database (AFDB). To cope with the scale of the predicted data a new NextFlow workflow (CATH-AlphaFlow), has been developed to classify high-quality domains into CATH superfamilies and identify novel fold groups and superfamilies. CATH-AlphaFlow uses a novel state-of-the-art structure-based domain boundary prediction method (ChainSaw) for identifying domains in multi-domain proteins. We applied CATH-AlphaFlow to process PDB structures not classified in CATH and AFDB structures from 21 model organisms, expanding CATH by over 100%.

Domains not classified in existing CATH superfamilies or fold groups were used to seed novel folds, giving 253 new folds from PDB structures (September 2023 release) and 96 from AFDB structures of proteomes of 21 model organisms. Where possible, functional annotations were obtained using (i) predictions from publicly available methods (ii) annotations from structural relatives in AFDB/UniProt50. We also predicted functional sites and highly conserved residues. Some folds are associated with important functions such as photosynthetic acclimation (in flowering plants), iron permease activity (in fungi) and post-natal spermatogenesis (in mice).

CATH-AlphaFlow will allow us to identify many more CATH relatives in the AFDB, further characterising the protein structure landscape.

Abstract Image

Abstract Image

CATH 2024:CATH-AlphaFlow 使 CATH 中的结构数量翻了一番,并揭示了近 200 个新折叠。
CATH (https://www.cathdb.info) 根据 PDB 中的实验蛋白质结构和 AlphaFold 数据库 (AFDB) 中的预测结构对结构域进行分类。为了应对预测数据的规模,我们开发了一个新的 NextFlow 工作流程(CATH-AlphaFlow),将高质量的结构域归入 CATH 超家族,并识别新的折叠组和超家族。CATH-AlphaFlow 采用了最先进的基于结构的新型结构域边界预测方法(ChainSaw)来识别多结构域蛋白质中的结构域。我们应用 CATH-AlphaFlow 处理了未在 CATH 中分类的 PDB 结构和来自 21 个模式生物的 AFDB 结构,将 CATH 扩大了 100%。未被归入现有 CATH 超家族或折叠组的结构域被用来培育新的折叠,从 PDB 结构(2023 年 9 月发布)中产生了 253 个新折叠,从 21 个模式生物的蛋白质组的 AFDB 结构中产生了 96 个新折叠。在可能的情况下,功能注释是通过 (i) 公开方法预测 (ii) AFDB/UniProt50 中的结构亲缘注释获得的。我们还预测了功能位点和高度保守的残基。一些褶皱与一些重要功能有关,如光合适应(开花植物)、铁渗透酶活性(真菌)和产后精子发生(小鼠)。CATH-AlphaFlow 将使我们能够在 AFDB 中识别出更多的 CATH 亲缘结构,从而进一步确定蛋白质结构的特征。
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来源期刊
Journal of Molecular Biology
Journal of Molecular Biology 生物-生化与分子生物学
CiteScore
11.30
自引率
1.80%
发文量
412
审稿时长
28 days
期刊介绍: Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions. Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.
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