Q0I370 AF NFT

UPF0263 protein HS_0995

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifbxtllxhhoq4mohkllncvlm7q6rs62iisafxftfxmncvw2h6yxdi/metadata.json
IPFS of structure file: 
bafybeiew5frt7xtr6fqdwkyksgleepte2qipatzdzmypiygyr4gevym22y/AF-Q0I370-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x16AA7e8351172c5B59622E4C07e340B2CB8836ed
First NFT owner address (bech32): 
genesis1z648aq63zuk9kktz9exq0c6qkt9csdhd54xu7v
Current NFT ID #523459 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
523459
Accession (UniProt):
Q0I370
Name::
UPF0263 protein HS_0995
Experimental Method:
Predicted structure
Sequence source:
Haemophilus somnus (strain 129Pt)

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 Q0I370 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0I370|Y995_HAES1 UPF0263 protein HS_0995 OS=Haemophilus somnus (strain 129Pt) OX=205914 GN=HS_0995 PE=3 SV=1 MTEKFKKLDPDTAIDIAYDIFLEMAGENLDPTDILLFNLQFEDHGGVEFVETADDWEQEIGVLIDPDEYAEVWVGLVNEQDEMDDIFAKFLISHKEEDREYHVVWKK