HLA22889 DQB1*03:362 DQB1*03:362 MolNFT, Molecular NFT on GenesisL1

DQB1*03:362

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0x00

IPFS of NFT metadata:

bafybeiagjlnyeiywmuuut4sxamceek4ovx7acddicrstjfmzoqbjuhrhii/metadata.json

IPFS of structure file:

bafybeifakwvdv5mt27owj2vqmcqi54nfpp7b2jn4j3ex5ijuz3z7a3v4ae/HLA22889_DQB1*03:362_predicted_with_MetaAI_for_GenesisL1.pdb

MOLNFT HLA

NFT id:
22505
HLA:
DQB1*03:362
Experimental Method:
Predicted structure
pTM:
0.701
pLDDT:
82.700

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 HLA22889 DQB1*03:362 research and analysis (ICN3D with VR)

FASTA sequences

>HLA:HLA22889 DQB1*03:362 183 bp DFVYQFKGMCYFTNGTERVRLVTRYIYNREEYARFDSDVGGYRAVTPLGPPAAEYWNSQKEVLERTRAELDTVCRHNYQLELRTTLQRRVEPTVTISPSRTEALNHHNLLVCSVTDFYPAQIKVRWFRNDQEETTGVVSTPLIRNGDWTFQILVMLEMTPQRGDVYTCHVEHPSLQNPIIVEW

HLA22889 DQB1*03:362 HLA NFT

MOLNFT HLA

NFT data

MOLNFT HLA22889 DQB1*03:362 research and analysis (ICN3D with VR)

FASTA sequences

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