B2ZB99 AF NFT

Drosulfakinins

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavfcyqf24ob5wk2xvdr463jpz2ziwixj5voksbtetfdai4uurqj4/metadata.json
IPFS of structure file: 
bafybeihni5oc3sxk3vt3frpx67dadd4b44esqil3f6tt3rgkbgxqns6mju/AF-B2ZB99-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #105858 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105858
Accession (UniProt):
B2ZB99
Name::
Drosulfakinins
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA SIMULANS

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 B2ZB99 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2ZB99|DSK_DROSI Drosulfakinins OS=Drosophila simulans OX=7240 GN=Dsk PE=1 SV=2 MGLRSCTHLATLFMTLWAVAFCFLVVVPIPAQTTSLQNAKDDRRLQELESKIGAESDQTNANLVGPSFSRFGDRRNQKAISFGRRVPLISRPMIPIELDLLMDNDDERTKAKRFDDYGHMRFGKRGGDDQFDDYGHMRFGR