Q6YK33 AF NFT

Insulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieylry5uu6wv46qfovzunmi6a6nzbc4yrfmqm2en4klllarq4d6ia/metadata.json
IPFS of structure file: 
bafybeicdgfmyky2u2kz5a6uc3jr4gfus6ajztj5wg5qwnixwk4rzz5gcpi/AF-Q6YK33-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb21d88281e0c9D3f5b75d07D0eaDbB86e28d89D2
First NFT owner address (bech32): 
genesis1kgwcs2q7pjwn7km46p7satdmsm3gmzwjzg98zm
Current NFT ID #190527 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
190527
Accession (UniProt):
Q6YK33
Name::
Insulin
Experimental Method:
Predicted structure
Sequence source:
Gorilla gorilla gorilla

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 Q6YK33 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6YK33|INS_GORGO Insulin OS=Gorilla gorilla gorilla OX=9595 GN=INS PE=3 SV=1 MALWMRLLPLLALLALWGPDPAAAFVNQHLCGSHLVEALYLVCGERGFFYTPKTRREAEDLQVGQVELGGGPGAGSLQPLALEGSLQKRGIVEQCCTSICSLYQLENYCN