Q9ZIQ0 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihginrsij3txmvzv6l7l23hxl6xqxtfdedt3kyvztieg37jla4dhy/metadata.json
IPFS of structure file: 
bafybeiblpqkslt7zpn2cnadnpsp3fwgdoobw7fvuicpqmewiu7nzupc47a/AF-Q9ZIQ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x348E6b6Fcf24005B74B82bb177748544cdD6A86c
First NFT owner address (bech32): 
genesis1xj8xkm70ysq9ka9c9wchway9gnxad2rvvljf62
Current NFT ID #336147 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
336147
Accession (UniProt):
Q9ZIQ0
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
BLASTOCHLORIS VIRIDIS

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 Q9ZIQ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZIQ0|RECA_BLAVI Protein RecA OS=Blastochloris viridis OX=1079 GN=recA PE=3 SV=1 MDKTKALDAALTQIERAFGKGSIMRLGKSGAALEVETISTGSLGLDIALGIGGLPRGRVVEIFGPESSGKTTLALHTVAEAQKKGGVCAFIDAEHALDPLYARKLGVNLDDLLISQPDAGEQALEIADTLVRSGAIDVLVVDSVAALVPRAELEGEMGDSQPGMQARLMSQALRKLTASISRSNCMVIFINQIRMKIGVMYGSPETTTGGNALKFYASVRLDIRRIGAIKERDEVVGNQTRVKVVKNKLAPPFKQVEFDIMYGEGISKAGELIDLGVKAGVVDKSGSWFSHDSQRIGQGRENVKGFLKGHPDVAGRIEAAIRQNAGLIAERILGSSEDSEDGEDAAEA