Q9BP87 AF NFT

Conotoxin ArMKLT2-0312

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiatdtyzbqvzyqzk7liqdpdogl3pea2za4cxd3zf5xxfnockfwdvii/metadata.json
IPFS of structure file: 
bafybeibcv7j23uhkc7cuhytwlfwkd4egdceq2bhaxz55ktnf3rwo2tcpiq/AF-Q9BP87-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4842E73f38af7155e188D0DDCd635aaD04BF0213
First NFT owner address (bech32): 
genesis1fppww0ec4ac4tcvg6rwu6c6645zt7qsn8vx6w7
Current NFT ID #278567 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
278567
Accession (UniProt):
Q9BP87
Name::
Conotoxin ArMKLT2-0312
Experimental Method:
Predicted structure
Sequence source:
Conus arenatus

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 Q9BP87 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BP87|O169_CONAE Conotoxin ArMKLT2-0312 OS=Conus arenatus OX=89451 PE=2 SV=1 MKLTCVLIIAVLFLTACQLITADYSRDKQEYRAVRLRDAMRYSRVRRQCADLGEECHTRFCCPGLRCEDLQVPTCLMA