Q9TTB4 AF NFT

Fibromodulin (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihcaclc2w4yrq77r2u7yjhsuacxum5lulm5hz6fu6rahqeh6nowfq/metadata.json
IPFS of structure file: 
bafybeibxgxzach7esqosobxpxdjjftdo6wsfer66wnhvvjojlusjl27wtq/AF-Q9TTB4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x04b63b8b1e42B47B4ff77f26C28a584d9dD62256
First NFT owner address (bech32): 
genesis1qjmrhzc7g268knlh0unv9zjcfkwavgjklvenx6
Current NFT ID #133071 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
133071
Accession (UniProt):
Q9TTB4
Name::
Fibromodulin (Fragment)
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q9TTB4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9TTB4|FMOD_PIG Fibromodulin (Fragment) OS=Sus scrofa OX=9823 GN=FMOD PE=2 SV=1 LDHNNLTRMPGPLPRSLRELHLDHNQISRVPNNALEGLENLTALYLQHNEIQEVGSSMRGLRSLILLDLSYNHLRKVPDGLPSALEQLYLEHNNVYSVPDSYFRGSPKLLYVRLSHNSLTNNGLASNTFNSSSLLELDLSYNQLQKI