Q92IW1 AF NFT

DNA topoisomerase 4 subunit B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqv6momglljewp7n5vhzeurgyqnpf5e23o3riw6dsmhszmhlxerm/metadata.json
IPFS of structure file: 
bafybeicqr5fjqn43xzpsn7n4k7a6yur2hnvpkhil27kczwd3uvopwp6wyu/AF-Q92IW1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7Be4C5B3cE1a26874f0703a2AeAd5Eb8910912Fc
First NFT owner address (bech32): 
genesis100jvtv7wrgngwnc8qw32at27hzgsjyhudaye34
Current NFT ID #288475 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
288475
Accession (UniProt):
Q92IW1
Name::
DNA topoisomerase 4 subunit B
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA CONORII (STRAIN ATCC VR-613 / MALISH 7)

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 Q92IW1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92IW1|PARE_RICCN DNA topoisomerase 4 subunit B OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=parE PE=3 SV=1 MSDLFSFNKEKKNKLVDNNYSAKDIEVLEGLEPVRKRPGMYIGGTDSNAMHHLVSEVLDNAMDEAVAGFASIITITMHHDHSITIFDNGRGIPIDNHPKFPDKSALEVILTTLHSGGKFSNNVYHTAGGLHGVGISVVNALSKHLEIKVYKQGKLYSQSYSKGEKLTDLICEEASKRLRGTSINFTPDPEIFSEKLHFNPKKIYELARSKAYLYRGVTIEWACEVEVQSDIPKKALISFPNGLKDYLSSKITLDNLVIPGIFAGNIESKSDRIKLEWAICWQNNDSSAFVQSYCNTVPTPQGGTHEQGLKSAILRGLKAYGEMIGNKKAANLTIEDILETASVVLSIFIAEPSFQGQTKEKLVSNGVSKPVENIIKDHFDHFLSSDKALATNLLEHVISIAEFRISKKNEKNISRKNATQKLRLPGKLADCTRTSPEGTELFIVEGDSAGGSAKQARNRETQAVLPLWGKVLNVASSTLEKIVNNQAIQDLEIALACGSLKNYKKENLRYEKIIIMTDADVDGAHIASLLMTFFFLRMPKLVEEGHLYLAKPPLYRLTQSNKTYYAGDEEEKAKLMDKLLKASKAKIEVGRFKGLGEMMPAQLKETTMHPEKRSLLKVTLADFQNVDKIVDDLMGKKPEKRFQFIYEQALVKMDKIISELDI