P40687 AF NFT

DNA topoisomerase 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeied35bhrg4eblbpjnu5kmyuo4hga4ye23nnec5clmrno5vyh5bgvm/metadata.json
IPFS of structure file: 
bafybeigl7ujm6k7fxfbubdjxejkpvrrsqcvcpjodaezd3ly6bvr55jjijy/AF-P40687-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #470067 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
470067
Accession (UniProt):
P40687
Name::
DNA topoisomerase 3
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHIMURIUM (STRAIN LT2 / SGSC1412 / ATCC 700720)

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 P40687 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P40687|TOP3_SALTY DNA topoisomerase 3 OS=Salmonella typhimurium (strain LT2 / SGSC1412 / ATCC 700720) OX=99287 GN=topB PE=3 SV=2 MRLFIAEKPSLGRAIADVLPKPHRKGDGFIECGNGQVVTWCIGHLLEQAQPDAYDSRYARWNLADLPIVPEKWQLQPRPSVTKQLNVIKRFLHQAGEIIHAGDPDREGQLLVDEVLDYLQLPAEKRQQVRRCLINDLNPQAVERAIDRLRANSDFVPLCVSALARARADWLYGINMTRAYTILGRNAGYQGVLSVGRVQTPVLGLVVRRDEEIENFVAKDFFEVKAHIVTPADERFTAIWQPSEACEPYQDEEGRLLHRPLAEHVVNRINGQPALVTSYNDKRESESAPLPFSLSTLQIEAAKRFGLSAQNVLDICQKLYETHKLITYPRSDCRYLPEEHFAGRQAVMNAISVHAPDLLPQPVVNPDTRNRCWDDKKVDAHHAIIPTARSSSVHLTENEAKVYTLIARQYLMQFCPDAVFRKCVIELEIAKGKFVAKARFLAEAGWRTLLGSKERDEENDGTPLPVVAKGDELLCEKGEVVERQTQPPRHFTDATLLSAMTGIARFVQDKDLKKILRATDGLGTEATRAGIIELLFKRSFLTKKGRYIHSTDAGKALIHSLPEMAARPDMTAHWESVLTQISEKQCRYQDFMQPLVGTLYQLIEQAKRTPVKRFRGIVAPGGGDKKKSAPRKRAGKKSPPAAETGRQTE