Q9HZ71 AF NFT

30S ribosomal protein S1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigusjs5byfb2q2f6u3fyg2cpdvfrzat3bigvgfnj5dfv6u2anrwle/metadata.json
IPFS of structure file: 
bafybeibojmqgpe2zrvi4wpnwgc4qvb2ls4pish5nejz7dv6sjl3e7e34uu/AF-Q9HZ71-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x23d54A6F00551fa0b7Dc770fB4753a25fEe18154
First NFT owner address (bech32): 
genesis1y0255mcq2506pd7uwu8mgaf6yhlwrq254uvj8p
Current NFT ID #401921 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
401921
Accession (UniProt):
Q9HZ71
Name::
30S ribosomal protein S1
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HZ71 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HZ71|RS1_PSEAE 30S ribosomal protein S1 OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=rpsA PE=3 SV=1 MSESFAELFEESLKSLDMQPGAIITGIVVDIDGDWVTVHAGLKSEGVIPVEQFYNEQGELTIKVGDEVHVALDAVEDGFGETKLSREKAKRAESWIVLEAAFAADEVVKGVINGKVKGGFTVDVNGIRAFLPGSLVDVRPVRDTTHLEGKELEFKVIKLDQKRNNVVVSRRSVLEAENSAEREALLESLQEGQQVKGIVKNLTDYGAFVDLGGVDGLLHITDMAWKRIKHPSEIVNVGDEIDVKVLKFDRERNRVSLGLKQLGEDPWVAIKARYPEGTRVMARVTNLTDYGCFAELEEGVEGLVHVSEMDWTNKNIHPSKVVQVGDEVEVQVLDIDEERRRISLGIKQCKSNPWEDFSSQFNKGDRISGTIKSITDFGIFIGLDGGIDGLVHLSDISWNEVGEEAVRRFKKGDELETVILSVDPERERISLGIKQLEDDPFSNYASLHEKGSIVRGTVKEVDAKGAVISLGDDIEGILKASEISRDRVEDARNVLKEGEEVEAKIISIDRKSRVISLSVKSKDVDDEKDAMKELRKQEVESAGPTTIGDLIRAQMENQG