Q9DAK4 AF NFT

Fatty acid-binding protein 12

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia7nznwn3blyskokxa2b4um2t5vlwtpdrgjikvdioam5ffezpkshq/metadata.json
IPFS of structure file: 
bafybeihxb3ub4nysfi7fokhwtkrtse46gp6xxj3oa26nddpywb74v4x4za/AF-Q9DAK4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #127536 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
127536
Accession (UniProt):
Q9DAK4
Name::
Fatty acid-binding protein 12
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9DAK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DAK4|FBP12_MOUSE Fatty acid-binding protein 12 OS=Mus musculus OX=10090 GN=Fabp12 PE=2 SV=1 MVDQLQGTWKSVSCDNFENYMKELGVGRASRKLGCLAKPTVTISTDGDLITIKTKSIFKNKEISFKLGEEFEETTPSGRKSKSTVILDNDSLVQVQDWDGKEATICRRLVDGKMVVESAVNNVTCTRTYQRV