Q89PK4 AF NFT

Uncharacterized transporter bll3476

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigvwtkb474vzl2qnhnlciqjizyf76etvdsiuo6un3e6bvab7cdhw4/metadata.json
IPFS of structure file: 
bafybeieyhf6p3ywbwv5jvhv5ooppqd5465jduwkywskwcgrwkrqmrfyr4i/AF-Q89PK4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5d1DBE1CCF2C7b8d1a0c0376A6169d8E6d6f2603
First NFT owner address (bech32): 
genesis1t5wmu8x093ac6xsvqdm2v95a3ekk7fsrvscwm0
Current NFT ID #515482 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
515482
Accession (UniProt):
Q89PK4
Name::
Uncharacterized transporter bll3476
Experimental Method:
Predicted structure
Sequence source:
BRADYRHIZOBIUM DIAZOEFFICIENS (STRAIN JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110)

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 Q89PK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89PK4|Y3476_BRADU Uncharacterized transporter bll3476 OS=Bradyrhizobium diazoefficiens (strain JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110) OX=224911 GN=bll3476 PE=3 SV=1 MGDIMIDWFFHTLKSYPEIAIFLSLALGYYFGSFTYKGLGLGAVTATLIAAVIIGQIGITITGPLKPFFFLMFLFAIGYGVGPQFVRGIAQDGVPQAIFAAVVCVFCLLAPYVAAKIAGYDVGSAAGLYAGSQTISASMGLATDAINRLGLSPEETKKILDGMPVAYAVTYIFGTVGSAIVLALLGPALLGIDLEAACKRYEEEYGGKKQLGGPGTAWHQFDVRAFRVRERGPAVGKTVQEAEALIPDQRVFILRLRQEGKIVDATSDAVIHAGDVVAVAGRRDVLVQLIGEQAEEVDDRELLAMPIEGVDVYVTSKDVDSKTLEQLAKAPAARGVFLRKITRGAIAVEIPILPNTKLNRGDIVTIVGRTPDVAAATKMLGRPDRATDMADVAFIGAAIAIGALVGAIVYKIGSVPLTLSTSGGALISGLFFGWLRSVRPTFGRIPSPTVWFMNSVGLNVFIAIVGISSGPGFVAGLKALGFGLFLWGVVATTAPLILAMYVGKYVFRFHDAIVLGCCSGARTTTASLGMVNDRAKSQIPGLGYTVTYAVGNTLLTIWGMVLVMLMT