Q864T7 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaaf5megfv2wsek5ttzkicqrhpmqclxja2caxejjjtzeitnmde4na/metadata.json
IPFS of structure file: 
bafybeiczec34hh4fehqe7mkslydptavkytmxqweyixgzwgndr42troiepq/AF-Q864T7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x922634802C3497a6A458944C1356490ce4100c17
First NFT owner address (bech32): 
genesis1jgnrfqpvxjt6dfzcj3xpx4jfpnjpqrqh66hyxf
Current NFT ID #40136 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40136
Accession (UniProt):
Q864T7
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
ORNITHORHYNCHUS ANATINUS

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 Q864T7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q864T7|B2MG_ORNAN Beta-2-microglobulin OS=Ornithorhynchus anatinus OX=9258 GN=B2M PE=3 SV=1 MGSRWGIAVLGLFCFVSCLEAITSSPKIQVYSRHPAQIGESNNLNCYVSSFHPPQISIRLLKNGQEMPGVEMSDLSFSNDWTFHRLVHTVFTPSNQDTFECEVVHEGVKKTVKWEPDN