P61771 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigz3huegjt2kvaf64ev33vnu6h5sidxeeh3tfzyqhspmxnvvxr7ay/metadata.json
IPFS of structure file: 
bafybeihzxgprolo4jbz5fj3fzrjfe2oiqdzspfhiv7k7vhfi5qznbdjmy4/AF-P61771-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa280Bd698F54F95C5d00f33Dc7edA335E38de780
First NFT owner address (bech32): 
genesis152qt66v02nu4chgq7v7u0mdrxh3cmeuqz3dtsu
Current NFT ID #40116 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40116
Accession (UniProt):
P61771
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Gorilla gorilla gorilla

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT P61771 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P61771|B2MG_GORGO Beta-2-microglobulin OS=Gorilla gorilla gorilla OX=9595 GN=B2M PE=3 SV=1 MSRSVALAVLALLSLSGLEAIQRTPKIQVYSRHPAENGKSNFLNCYVSGFHPSDIEVDLLKNGERIEKVEHSDLSFSKDWSFYLLYYTEFTPTEKDEYACRVNHVTLSQPKIVKWDRDM