A0A0B5ABE6 AF NFT

Con-Ins Q1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibk5fvsp4ydlmari3bgpjd2lfwhdpyh4dy4gmda5plksdkbytig4q/metadata.json
IPFS of structure file: 
bafybeifo5nq7snfe5f5yg3r2hn2oocq5g2cppymhwimfvbzfavzpuyaz3m/AF-A0A0B5ABE6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6C482d01F32F98784942cF1f954fA8aEba65C2c1
First NFT owner address (bech32): 
genesis1d3yz6q0n97v8sj2zeu0e2nag46axtskp222ftr
Current NFT ID #190291 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
190291
Accession (UniProt):
A0A0B5ABE6
Name::
Con-Ins Q1
Experimental Method:
Predicted structure
Sequence source:
Conus quercinus

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 A0A0B5ABE6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0B5ABE6|INS1A_CONQU Con-Ins Q1 OS=Conus quercinus OX=101313 PE=1 SV=1 MTTSSYFLLVALGLLLYLCQSSFGTEHTCEPGASPHPQGKCRPELAEFHETMCEVEESLQGGTDDARKKRGRASLLRKRRGFLSMLKARAKRNEASPLPRAGRGIVCECCKNSCTYEEITEYCPPVTEGSG