Q9ZE43 AF NFT

Uncharacterized protein RP105

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifj6jkzfd5g4sxau3tmvvbiqhf36uz455rd5phffa4ms2t6cvhui4/metadata.json
IPFS of structure file: 
bafybeif7ftkorcji7gobqsrhtptquxpme45obk66xczrrrkckdbmasfa3e/AF-Q9ZE43-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #504013 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
504013
Accession (UniProt):
Q9ZE43
Name::
Uncharacterized protein RP105
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA PROWAZEKII (STRAIN MADRID E)

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 Q9ZE43 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZE43|Y105_RICPR Uncharacterized protein RP105 OS=Rickettsia prowazekii (strain Madrid E) OX=272947 GN=RP105 PE=3 SV=1 MKTLKVLKIFIIVYISSVSLESFAGFGESCSNLPITSDGYLETYTAYGYIIRSIDMKDPRGNCNPSTSSITFCFKNVEGSASPCTIYTLNEGDTRKISDLSTDNNPDLGANTVLKNIVLTVKKFGNDLCLAMPTSRGPMPVACKSLSVTPTATKPKDENCNIGKSCYTGANYSQSLINFSGLAVQCLSETLNKIFFTGSSCSAQDQNSRITHLASFATFQGYLKRIIGAALILYTMFFAFNMALNKEYATTEKITLFIIKFLFVVYFSIGLGPLDFSGGQPVKENGMLKYGLPLLTGAAPDFAGMIFNAAGSRGLCQFDNTKYKDGYKFYGLWDAIDCRIGYYLGLDLLYNIDKNGILGRPVSNGTSGNNKPIPNFDPDGKKDRPHDLSKAGALRFFTVMFGFFMSGHVIILVAGMVFSVIFLSILLYFITHYLVCMVTIYVMTYISPIFIPMVLFTRTKAYFDGWLKVCISCALQPAVVAGFIALLITMYDSAIFKNCEFLRYDYEKGDIRFSTFELRLPSIDADKCQESFGYKMLKYYAGEGWEEHLLILFPIKSIVRDVVSILAELLCVLIFSVIFYYFSKSIGRFAADLTNGPNMDAVTASPTKIVDLVKKGAAFLKDASVHEHGKSSLGDKPDIGNKRKDGAQQGEDAVNSSGGEVADLASGSGGGK