An Automated Pipeline Integrating AlphaFold 2 and Modeller for Protein Structure Prediction
出版年份 2023 全文链接
标题
An Automated Pipeline Integrating AlphaFold 2 and Modeller for Protein Structure Prediction
作者
关键词
-
出版物
Computational and Structural Biotechnology Journal
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2023-11-03
DOI
10.1016/j.csbj.2023.10.056
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Evolutionary-scale prediction of atomic-level protein structure with a language model
- (2023) Zeming Lin et al. SCIENCE
- Single-sequence protein structure prediction using a language model and deep learning
- (2022) Ratul Chowdhury et al. NATURE BIOTECHNOLOGY
- Improved AlphaFold modeling with implicit experimental information
- (2022) Thomas C. Terwilliger et al. NATURE METHODS
- How good are AlphaFold models for docking-based virtual screening?
- (2022) Valeria Scardino et al. iScience
- Highly accurate protein structure prediction with AlphaFold
- (2021) John Jumper et al. NATURE
- DeepMind’s AI predicts structures for a vast trove of proteins
- (2021) Ewen Callaway NATURE
- Highly accurate protein structure prediction for the human proteome
- (2021) Kathryn Tunyasuvunakool et al. NATURE
- Evaluation of model refinement in CASP14
- (2021) Adam J. Simpkin et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Target classification in the 14th round of the critical assessment of protein structure prediction ( CASP14 )
- (2021) Lisa N. Kinch et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Critical Assessment of Methods of Protein Structure Prediction ( CASP ) – Round XIV
- (2021) Andriy Kryshtafovych et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
- (2021) Mihaly Varadi et al. NUCLEIC ACIDS RESEARCH
- A glance into the evolution of template-free protein structure prediction methodologies
- (2020) Surbhi Dhingra et al. BIOCHIMIE
- Hybrid methods for combined experimental and computational determination of protein structure
- (2020) Justin T. Seffernick et al. JOURNAL OF CHEMICAL PHYSICS
- A Structure-Based Drug Discovery Paradigm
- (2019) Maria Batool et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- HH-suite3 for fast remote homology detection and deep protein annotation
- (2019) Martin Steinegger et al. BMC BIOINFORMATICS
- Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix
- (2019) Dorothee Liebschner et al. Acta Crystallographica Section D-Structural Biology
- QMEANDisCo – Distance Constraints Applied on Model Quality Estimation
- (2019) Gabriel Studer et al. BIOINFORMATICS
- MolProbity: More and better reference data for improved all-atom structure validation
- (2017) Christopher J. Williams et al. PROTEIN SCIENCE
- Uniclust databases of clustered and deeply annotated protein sequences and alignments
- (2016) Milot Mirdita et al. NUCLEIC ACIDS RESEARCH
- UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches
- (2014) B. E. Suzek et al. BIOINFORMATICS
- lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests
- (2013) Valerio Mariani et al. BIOINFORMATICS
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- (2011) Michael Remmert et al. NATURE METHODS
- Hidden Markov model speed heuristic and iterative HMM search procedure
- (2010) L Steven Johnson et al. BMC BIOINFORMATICS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now