Q2I2Q4 AF NFT

Conotoxin Lt3.2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigff5tpd7eeecvevsrffhpdm42a4ciks6hwcozmgtpdl4ujwlrreu/metadata.json
IPFS of structure file: 
bafybeicykqzcl6n2ib4omypn5cihrs3m5wooep5dmvjetfpgij3ujc4oau/AF-Q2I2Q4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4A5C978525ad251797e983213Fa9aD0A9E376C59
First NFT owner address (bech32): 
genesis1ffwf0pf945j309lfsvsnl2ddp20rwmzeptfmyn
Current NFT ID #67481 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
67481
Accession (UniProt):
Q2I2Q4
Name::
Conotoxin Lt3.2
Experimental Method:
Predicted structure
Sequence source:
Conus litteratus

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 Q2I2Q4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2I2Q4|CM32_CONLT Conotoxin Lt3.2 OS=Conus litteratus OX=89445 PE=3 SV=1 MLKIGVVLFTFLVLFPLATLQLDADQPVERYAENKQDLNPNERMKMIMSALGQRRCCISPACHEECYCCQ