HLA00326 B*44:09 B*44:09 MolNFT, Molecular NFT on GenesisL1

B*44:09

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0x00

IPFS of NFT metadata:

bafybeibi4pjgqo6hwutb3akv5rin4etkka5ng6hzpmcbd4xke34hyypx4y/metadata.json

IPFS of structure file:

bafybeicjhjij6e3viquzyj67aeh57bueiicz564letraggvv2j2euxagkm/HLA00326_B*44:09_predicted_with_MetaAI_for_GenesisL1.pdb

MOLNFT HLA

NFT id:
311
HLA:
B*44:09
Experimental Method:
Predicted structure
pTM:
0.658
pLDDT:
83.800

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 HLA00326 B*44:09 research and analysis (ICN3D with VR)

FASTA sequences

>HLA:HLA00326 B*44:09 362 bp MRVTAPRTLLLLLWGAVALTETWAGSHSMRYFYTAMSRPGRGEPRFITVGYVDDTLFVRFDSDATSPRKEPRAPWIEQEGPEYWDRETQISKTNTQTYRESLRNLRGYYNQSEAGSHIIQRMYGCDVGPDGRLLRGYDQDAYDGKDYIALNEDLSSWTAADTAAQITQRKWEAARVAEQDRAYLEGLCVESLRRYLENGKETLQRADPPKTHVTHHPISDHEVTLRCWALGFYPAEITLTWQRDGEDQTQDTELVETRPAGDRTFQKWAAVVVPSGEEQRYTCHVQHEGLPKPLTLRWEPSSQSTVPIVGIVAGLAVLAVVVIGAVVAAVMCRRKSSGGKGGSYSQAACSDSAQGSDVSLTA

HLA00326 B*44:09 HLA NFT

MOLNFT HLA

NFT data

MOLNFT HLA00326 B*44:09 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience