C3MZQ7 AF NFT

Protein M1627_2019

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihhmu5xjbotobfuudahvnchuxvlibsc2xz2egswo5xqocqaqbt3pe/metadata.json
IPFS of structure file: 
bafybeifl3a5f5ynvthzk7z6nbeelvqoyvnhqmsmdi46yd3hi7fb5gbdwia/AF-C3MZQ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE5FC0b4766EbeEdAA6231d28306a4B21e024C6F9
First NFT owner address (bech32): 
genesis1uh7qk3mxa0hd4f3rr55rq6jty8szf3he4jy9x3
Current NFT ID #510504 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
510504
Accession (UniProt):
C3MZQ7
Name::
Protein M1627_2019
Experimental Method:
Predicted structure
Sequence source:
Sulfolobus islandicus (strain M.16.27)

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 C3MZQ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C3MZQ7|Y2019_SULIA Protein M1627_2019 OS=Sulfolobus islandicus (strain M.16.27) OX=427318 GN=M1627_2019 PE=3 SV=1 MIQGDLVQIQELNNEIGRFLIEIARKAIKEEFKLDKLDLSNYNNPILDKKGLAFVTLEKITYNTSSLRGCIGYVEAVAPLKQIVASAAKAAAFSDPRFNPLQKDELSEIIIEVTVLTKPEEIKVKDRWDLPKIIKVGEDGLIVEKGILHSGLLLPQVPMEYCWDEETFLAETCIKASLEPDCWLDNSVRIKRFHGIIFRETRPDGSDIIVVKPSDIKCKLNELLNNF