P18767 AF NFT

Beta-(1-->2)glucan export ATP-binding/permease protein NdvA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicwtttllsdl3hbe66d7xmo2eteelafzyodhzd5alpzyrgv4xk7tky/metadata.json
IPFS of structure file: 
bafybeihyjgzgi57cloxpbup27hitv2iambnvdwyv2eb5vu6ktm4aojz2wu/AF-P18767-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd466D587e3186d7527A9561e4d2cAc3eBff31f40
First NFT owner address (bech32): 
genesis163ndtplrrpkh2faf2c0y6t9v86llx86qvzxyuc
Current NFT ID #262828 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
262828
Accession (UniProt):
P18767
Name::
Beta-(1-->2)glucan export ATP-binding/permease protein NdvA
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM MELILOTI (STRAIN 1021)

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 P18767 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P18767|NDVA_RHIME Beta-(1-->2)glucan export ATP-binding/permease protein NdvA OS=Rhizobium meliloti (strain 1021) OX=266834 GN=ndvA PE=1 SV=2 MSLFQVYARALQYLAVHKFRVGAIVIANIVLAAITIAEPILFGRIIDAISSQKDVAPMLLLWAGFGVFNTIAFVLVSREADRLAHGRRASLLTEAFGRIVSMPLSWHSQRGTSNALHTLLRACETLFGLWLEFMRQHLATAVALMLLIPTAFAMDVRLSLILVVLGAAYVMISKVVMSRTKEGQAAVEGHYHTVFSHVSDSISNVSVVHSYNRIEAETRELKKFTQRLLSAQYPVLDWWALASGLNRIASTISMMAILVIGTVLVQRGELGVGEVIAFIGFANLLIGRLDQMKAFATQIFEARAKLEDFFQLEDSVQDREEPADAGELKGVVGEVEFRDISFDFANSAQGVRNVSFKAKAGQTIAIVGPTGAGKTTLVNLLQRVHEPKHGQILIDGVDIATVTRKSLRRSIATVFQDAGLMNRSIGENIRLGREDASLDEVMAAAEAAAASDFIEDRLNGYDTVVGERGNRLSGGERQRVAIARAILKNAPILVLDEATSALDVETEARVKDAIDALRKDRTTFIIAHRLSTVREADLVIFMDQGRVVEMGGFHELSQSNGRFAALLRASGILTDEDVRKSLTAA