A3KQS5 AF NFT

Protein AF1q

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihlmlhfckhfi6jevwiqsfecrfr7f42pkzbpf7xyp5e24ry5gc3r3a/metadata.json
IPFS of structure file: 
bafybeicksphwrb2syq5vj7ehnc5vizzqbpxcaguncemjq5o5uppozr6etm/AF-A3KQS5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB5268aA94a7047738311f34fD805c7fe3F299d8D
First NFT owner address (bech32): 
genesis1k5ng4222wprh8qc37d8aspw8lcljn8vdpv3xhk
Current NFT ID #10859 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
10859
Accession (UniProt):
A3KQS5
Name::
Protein AF1q
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 A3KQS5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3KQS5|AF1Q_DANRE Protein AF1q OS=Danio rerio OX=7955 GN=mllt11 PE=3 SV=1 MLDKTSSQFDSFLFWRQPIPSLDLSELEDLGISAPKSKEMKSTKSFPRQDEDEDRELSKFSTFNFWKEPIPSIDTLDFSLLL