I1RF56 AF NFT

Rubrofusarin-specific efflux pump aurT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihcxqscw7adcqjrtwz3jnq7sooxwywl4dzstqxjtchaz7chcgk4xq/metadata.json
IPFS of structure file: 
bafybeigpj4pouvwqwkn7eokei4m7vyqoxleiv5equxljsuv6uw22e5k3ba/AF-I1RF56-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf0a76e0131e9a5A06d4C89fDa82CFFD57de1b97c
First NFT owner address (bech32): 
genesis17znkuqf3axj6qm2v3876st8l6477rwtuzcsmqd
Current NFT ID #39303 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39303
Accession (UniProt):
I1RF56
Name::
Rubrofusarin-specific efflux pump aurT
Experimental Method:
Predicted structure
Sequence source:
Gibberella zeae (strain ATCC MYA-4620 / CBS 123657 / FGSC 9075 / NRRL 31084 / PH-1)

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 I1RF56 research and analysis (ICN3D with VR)

FASTA sequences

>sp|I1RF56|AURT_GIBZE Rubrofusarin-specific efflux pump aurT OS=Gibberella zeae (strain ATCC MYA-4620 / CBS 123657 / FGSC 9075 / NRRL 31084 / PH-1) OX=229533 GN=aurT PE=2 SV=1 MTDNTDMEKLDRATTPTPIPNEAPPTSEPSESKPEEAEDESKYPHGLKLAAIILSNMVAMFLVALDRTIIATAIPRITDDFNALGDISWYASAYLITSSATQLLWGRIFTFYPTKTVYLVAIFFFELGSLLCGVAPNSVAFIIGRAIAGAGSAGIYSGSTILITTVTPLSKRAGYVGMMGAVFGIASVIAPLIGGAFTDHVTWRWCFYINLPVGGAAVACLILLFPKFPVNEPVSVKQQIKQLDPWGNLVFLPGVICLILALQWGGEKYAWDSGRIVALLVLACVLLLVFIGIQIWQQENATVPPRLFKIRNVWLGTIFAFCLGSVLIVFLIALPIWFQGIRGTDAITSGIDTLPLVLSLVFGAIVSGGVINGVGWFNPVFFSSVIFMSVGGGLITTFVVDTPTRTWIGYQIILGLGIGQGMQLASLGTQVAVKQSDVPTGVSLMFFAQSLGGSVLVCVAQAVFNNELRSRLTSFDGIDVARIIGTGATQLRHVIPADRLAEVLVEYNAALRSYFYVGLAAACFAVLPSLGIEWKNVKGQEFVH