HLA23126 DQB1*03:366 HLA NFT

DQB1*03:366

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0x00
IPFS of NFT metadata: 
bafybeigprn73mgset4pqwfyh5azslwfxznvo4p4enjxcw4zi6uxf7glite/metadata.json
IPFS of structure file: 
bafybeihh65lm2wnw63fubfxmag7as2k4ru7rxn2dlujla42lmcsqmdenb4/HLA23126_DQB1*03:366_predicted_with_MetaAI_for_GenesisL1.pdb

MOLNFT HLA

NFT id:
22742
HLA:
DQB1*03:366
Experimental Method:
Predicted structure
pTM:
0.567
pLDDT:
82.000

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 HLA23126 DQB1*03:366 research and analysis (ICN3D with VR)

FASTA sequences

>HLA:HLA23126 DQB1*03:366 220 bp DFVYQFKAMCYFTNGTERVRYVTRYIYNREEYARFDSDVEAYRAVTPLGPPDAEYWNSQKEVLERTRAELDTVCRHNYQLELRTTLQRRVEPTVTISPSRTEALNHHNLLVCSVTDFYPAQIKVRWFRNDQEETTGVVSTPLIRNGDWTFQILVMLEMTPQHGDVYTCHVEHPSLQNPITVEWRAQSESAQSKMLSGIGGFVLGLIFLGLGLIIHHRSQK