Q8ZVM0 AF NFT

Type 2 DNA topoisomerase 6 subunit B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih7y63iq26eyrjlrxyzh65uatpxvy3anrmmj56opdn6de4spjxypa/metadata.json
IPFS of structure file: 
bafybeibrmdngf646enbm2shg772aqig477ekfkh5s5jfmxumgzw7kcf3n4/AF-Q8ZVM0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D671490EE06E75975e90D7F99F73B20BE618744
First NFT owner address (bech32): 
genesis1p4n3fy8wqmn4ja0fp4lenaemyzlxrp6y5ma6w5
Current NFT ID #470125 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
470125
Accession (UniProt):
Q8ZVM0
Name::
Type 2 DNA topoisomerase 6 subunit B
Experimental Method:
Predicted structure
Sequence source:
Pyrobaculum aerophilum (strain ATCC 51768 / DSM 7523 / JCM 9630 / CIP 104966 / NBRC 100827 / IM2)

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 Q8ZVM0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8ZVM0|TOP6B_PYRAE Type 2 DNA topoisomerase 6 subunit B OS=Pyrobaculum aerophilum (strain ATCC 51768 / DSM 7523 / JCM 9630 / CIP 104966 / NBRC 100827 / IM2) OX=178306 GN=top6B PE=3 SV=1 MYAYEALPVAEWFRRNRELAGFHNPTRALYQTIRELTENSLDATETYGILPTIYLRVNIEDEQKGWVSVYAEDNGIGIPGNEIPNVFGRVFYSSKYKIKQHRGVFGLGLKMVVLYSQSTTNKPVLVRSATLKSDKIYEYQIMIDTNSNSPIILDRREYPNRYKWHGTAVKVYLEGNWLAAKKRIEDYLKRTAIIAPYAEIVFKGPDLELWLKRRTTKLPPAPKEGLPHPKSVDVDTLKQMIQESRGLTLLEFLMENFDAVGEGTAKAFLEWAGFNPNAKVTALTPEELVKLVDKMKQYEGWRRPRSDWLSPAGAELLEIGAKAILGAEAVFAITRKPESYGGHPFIVEAAVAWGGQIPPADKPLLLRYANKIPLLYDEGADVARKVVDEFNWQNYKVKFPAPLAVIIHVCSTKIPYASAGKEAIAEVPEIEKEMKLALRDAAKKLRLYLSRKEKEMEMLNKYISLAKYVEEIAYNLSMITRIEKESLAKNLHTLIERKIGLTIEELVKHTLSMSSTSQEEVVEATPQ