Q64PN7 AF NFT

Uncharacterized transporter BF3802

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqsfzd4gp2jtaqrsyrn2t7yroh6mnowidaby5jfk4okrhcxukyie/metadata.json
IPFS of structure file: 
bafybeiabdovp2yonc5574d3bj653sc7xfx5w6ipx576widgsebw4ftsdui/AF-Q64PN7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd35252F5c9506AaAf4362F7480283C06BBd38C02
First NFT owner address (bech32): 
genesis16df99awf2p424apk9a6gq2puq6aa8rqzfa7tu4
Current NFT ID #516320 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
516320
Accession (UniProt):
Q64PN7
Name::
Uncharacterized transporter BF3802
Experimental Method:
Predicted structure
Sequence source:
Bacteroides fragilis (strain YCH46)

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 Q64PN7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64PN7|Y3802_BACFR Uncharacterized transporter BF3802 OS=Bacteroides fragilis (strain YCH46) OX=295405 GN=BF3802 PE=3 SV=1 MDWLQDLLWNPNSVAHIVFLYAFVVAAGVYLGKIKIFGVSLGVTFVLFAGILMGHFGFTGDTHILHFIREFGLILFVFCIGLQVGPSFFSSFKKGGMTLNMLAVGIVVLNIAVAMALYFILGGRIELPMMVGILYGAVTNTPGLGAAQEALNQLSYSGPQIALGYACAYPLGVVGIIGSIIAVRYIFRINFAKEEENWNQETDGTHHKPHLMSLEVHNEAIYGKTLGTISSFLGRPFVCSRIRKNGHVSIPNHGTILEQNDQLFVVCSEEDSDAIVAFIGREVQVDWEKQDMPMVSRRILVTKPEINGKKLGMLNFRSMYNVNITRVNRSGVDLFANPNLILQVGDRVMVVGSEDAVERVASVLGNSLKRLNEPNIITLFVGIFLGILCGSLPIAFPGMPTPVKLGLAGGPLVVAILIGRFGHKLHLVTYTTQSANLMIREIGIVLFLASVGIEAGANFVDTVIHGDGLLYVGCGFLITIIPLLIIGVIARSYYKINYFMLMGLIAGSNTDPPALAYSNQATGSDAPAVGYSTVYPLSMFLRILAGQMILLLMM