HLA09943 C*03:197 HLA NFT

C*03:197

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0x00
IPFS of NFT metadata: 
bafybeiacqwqdwfdujtntdhvxggfpvcucv77aqrza7zs4wglswnt6uhpv6a/metadata.json
IPFS of structure file: 
bafybeib6eilhobjxjtet64li5v2d4gn7r444mbixlan75dnlud3y7k3fuq/HLA09943_C*03:197_predicted_with_MetaAI_for_GenesisL1.pdb

MOLNFT HLA

NFT id:
9712
HLA:
C*03:197
Experimental Method:
Predicted structure
pTM:
0.817
pLDDT:
83.200

NFT data

MolNFT HLA is a sequential and structural database of HLA protein sequences from IPD-IMGT/HLA Database and corresponding structures predicted with ESMFold (MetaAI). Prediction done using open models by GenesisL1 blockchain enthusiasts and preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment.

https://www.ebi.ac.uk/ipd/imgt/hla/
Barker DJ, Maccari G, Georgiou X, Cooper MA, Flicek P, Robinson J, Marsh SGE
The IPD-IMGT/HLA Database
Nucleic Acids Research (2023) 51:D1053-60

https://github.com/facebookresearch/esm
Evolutionary-scale prediction of atomic level protein structure with a language model
Zeming Lin, Halil Akin, Roshan Rao, Brian Hie, Zhongkai Zhu, Wenting Lu, Nikita Smetanin, Robert Verkuil, Ori Kabeli, Yaniv Shmueli, Allan dos Santos Costa, Maryam Fazel-Zarandi, Tom Sercu, Salvatore Candido, Alexander Rives
bioRxiv 2022.07.20.500902; doi:https://doi.org/10.1101/2022.07.20.500902

MOLNFT HLA09943 C*03:197 research and analysis (ICN3D with VR)

FASTA sequences

>HLA:HLA09943 C*03:197 273 bp SHSMRYFYTAVSRPGRGEPHFIAVGYVDDTQFVRFDSDAASPRGEPRARWVEQEGPEYWDRETQKYKRQAQTDRVSLRNLRGYYNQSEAGSHILQRMYGCDVGPDGRLLRGYDQSAYDGKDYIALNEDLRSWTAADTAAQITQRKWEAAREAEQLRAYLEGLCVEWLRRYLKNGKETLQRAEHPKTHVTHHPVSDHEATLRCWALGFYPAEITLTWQWDGEDQTQDTELVETRPAGDGTFQKWAAVVVPSGEEQRYTCHVQHEGLPEPLTLRW