I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction
University of Michigan · Zhejiang University of Technology · +1 more institution
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
507
total citations
- FWCI
- 40.55
- Percentile
- 100%
- References
- 120
Citations per year
Authors
8Topics & keywords
Topics
Keywords
- Domain (mathematical analysis)
- Computer science
- Protein structure prediction
- Pipeline (software)
- Cyclic nucleotide-binding domain
- Protein domain
- Protein structure
- Folding (DSP implementation)
UN Sustainable Development Goals
- Peace, Justice and strong institutions
No related works found for this paper.
Funding
- NSNational Science FoundationAward: DBI2030790
- DODivision of Intramural Research, National Institute of Allergy and Infectious DiseasesAward: AI134678
- NNNational Natural Science Foundation of China-Yunnan Joint FundAwards: 62173304, 61773346
- NINational Institute of General Medical SciencesAwards: S10OD026825, GM136422