A9R6J7 AF NFT

UPF0303 protein YpAngola_A1792

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigetqbngk2kcvcp2jv4lxweocrkddcmlyvmvnri4p4676bxva2kve/metadata.json
IPFS of structure file: 
bafybeib4zvno5iwgq4ykdq4c6rwdvsm222tw5y6dkzhuv5pq4y3msxnhtq/AF-A9R6J7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x463D3c96D49524B3845B7a98482f112a94bcdf90
First NFT owner address (bech32): 
genesis1gc7ne9k5j5jt8pzm02vystc3922tehusn4ucem
Current NFT ID #509318 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
509318
Accession (UniProt):
A9R6J7
Name::
UPF0303 protein YpAngola_A1792
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R6J7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R6J7|Y1792_YERPG UPF0303 protein YpAngola_A1792 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A1792 PE=3 SV=1 MNLQQQLAYCQQHQQRLQLRHFDNETAWQLGEKIKRQAEKQGVALAIDITVNHQTLFSYAMAGTCAENQDWLRRKRNVVELLSTSSYAAGLMLQQRETSLDARYGVSLRDYAALGGAFPLQIKQAGIIGSVNVSGAPHLDDHNLLLQVLADFVGLPTGSIELLTPLTPLSA