P0C1Y9 AF NFT

Fasciculin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7lac4fvafv463l5mr4pwutsst4awtda77vzyspul6mym4yjfdla/metadata.json
IPFS of structure file: 
bafybeibhl57kw35go4st35e7lkm5nyrny26ifkmk3pskmigez5w5pzhseq/AF-P0C1Y9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdF2b063d4B94F3f46D117B1af99A846bD4a59284
First NFT owner address (bech32): 
genesis1mu4sv02tjnelgmg30vd0nx5yd022ty5y7akg2m
Current NFT ID #1270 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
1270
Accession (UniProt):
P0C1Y9
Name::
Fasciculin-1
Experimental Method:
Predicted structure
Sequence source:
DENDROASPIS ANGUSTICEPS

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 P0C1Y9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C1Y9|3SE1_DENAN Fasciculin-1 OS=Dendroaspis angusticeps OX=8618 PE=1 SV=1 TMCYSHTTTSRAILTNCGENSCYRKSRRHPPKMVLGRGCGCPPGDDYLEVKCCTSPDKCNY