P95364 AF NFT

UPF0213 protein in glnA 3'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig4dfcy7b462yfegz7ef46gsxbhdfkv2vyj3qw3fn4ivvgas5timi/metadata.json
IPFS of structure file: 
bafybeig47i6eplnaazfwt76tqnh6vdqn6prvnudv6l2wtne2awzgvsh4vi/AF-P95364-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x41A468118417A70afEC0558580E07F23c8D9f82A
First NFT owner address (bech32): 
genesis1gxjxsyvyz7ns4lkq2kzcpcrly0ydn7p2qmj00u
Current NFT ID #536097 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
536097
Accession (UniProt):
P95364
Name::
UPF0213 protein in glnA 3'region
Experimental Method:
Predicted structure
Sequence source:
NEISSERIA GONORRHOEAE

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 P95364 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P95364|YORZ_NEIGO UPF0213 protein in glnA 3'region OS=Neisseria gonorrhoeae OX=485 PE=3 SV=1 MNASNWSVYLILCENSAFYCGISPNPQQRLAIHTAGKGAKYTRVFKPVAMRIVAGGMDKGTALKQEIAVKKLTAAQKRQLWEQAEKMPSET