A0A0B5A7P2 AF NFT

Con-Ins G1c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihzpmeqpap55xpoepmkhjq4n2xtyy5sxlxin6rifyactostt2leve/metadata.json
IPFS of structure file: 
bafybeidaibmazxgmz7mr35oq4abw6d6tpfvl7fihpk7nw3sdnosyypg3zy/AF-A0A0B5A7P2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8B97cB2b61CB3E56705D4C4e7d1809E1aE1BDC69
First NFT owner address (bech32): 
genesis13wtuk2mpevl9vuzaf3886xqfuxhphhrfql2akd
Current NFT ID #190298 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
190298
Accession (UniProt):
A0A0B5A7P2
Name::
Con-Ins G1c
Experimental Method:
Predicted structure
Sequence source:
CONUS GEOGRAPHUS

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 A0A0B5A7P2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0B5A7P2|INS1C_CONGE Con-Ins G1c OS=Conus geographus OX=6491 PE=3 SV=1 MTTSFYFLLMALGLLLYVCQSSFGNQHTRTFDTPKHRCGSEITNSYMDLCYRKRNDAGKKRGRASPLWQRRGSLSQLKARAKRNGAFHLPRDGRGVVEHCCHRPCSNAEFKKYCS