P0DQH2 AF NFT

Exactin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid2rsa7ogzrgz3uoshqfgh6fnoeyoq4e56plu3tayvuzfhbicxwh4/metadata.json
IPFS of structure file: 
bafybeidfyr2wucqoletshpdu7tgetrj3gdzuh7bsj6d7n3eedmap4jl7nu/AF-P0DQH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52356ec447D386c3f4E18AeC3105aF92799dA203
First NFT owner address (bech32): 
genesis12g6ka3z86wrv8a8p3tkrzpd0jfuemgsr3u6u7r
Current NFT ID #1353 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
1353
Accession (UniProt):
P0DQH2
Name::
Exactin
Experimental Method:
Predicted structure
Sequence source:
HEMACHATUS HAEMACHATUS

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 P0DQH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DQH2|3SOKA_HEMHA Exactin OS=Hemachatus haemachatus OX=8626 PE=1 SV=1 LECYQKSKVVTCQPEQKFCYSDTTMFFPNHPVYLSGCTFSCTEEGNRRCCTTDKCNR