O77537 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiapfxwnasn44g5j45yuqlwfl6vtc34kycmgiagr236mirntiltmmq/metadata.json
IPFS of structure file: 
bafybeihg4rdhg3u4u7nbovjtwwa4f2edsmpua5gdoitqjnnegtc7hq4bpq/AF-O77537-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #40087 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
40087
Accession (UniProt):
O77537
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Aotus azarae

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 O77537 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O77537|B2MG_AOTAZ Beta-2-microglobulin OS=Aotus azarae OX=30591 GN=B2M PE=3 SV=2 MARFVVVALLVLLSLSGLEAIQRAPKIQVYSRHPAENGKPNFLNCYVSGFHPSDIEVDLLKNGKKIEKVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVSHVTLSTPKTVKWDRNM