A0A2I6EDL3 AF NFT

Conotoxin reg3.5

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihhtglnxnfl2pxy7edu65hrtuxrzly4airwv3pmjx3wrehog3shie/metadata.json
IPFS of structure file: 
bafybeihpllnymdcfoituljr3pmksa5pcvxo5et3j4zcv3pwxqyh5dujvt4/AF-A0A2I6EDL3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC3A0696e5089a020725B2FaE427FAfB11EF69594
First NFT owner address (bech32): 
genesis1cwsxjmjs3xszqujm97hyyla0ky00d9v5kekpnv
Current NFT ID #67491 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
67491
Accession (UniProt):
A0A2I6EDL3
Name::
Conotoxin reg3.5
Experimental Method:
Predicted structure
Sequence source:
CONUS REGIUS

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 A0A2I6EDL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A2I6EDL3|CM35_CONRE Conotoxin reg3.5 OS=Conus regius OX=101314 PE=3 SV=1 MMFKLGVLLTICLLLFPLTGTALDGDQLAEHMLDISSGINDRWFDPVRKCCMRPVCTCPCCS