Q1RE96 AF NFT

Glutathione import ATP-binding protein GsiA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigm6t2xbjamc2nzqh7to33gica32ymjhrwiq3lshu7n7f4rfa4bby/metadata.json
IPFS of structure file: 
bafybeih4n3nitt4ycjhi64retrm252nc4huaiikxdojbw6mthehptftjc4/AF-Q1RE96-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBb37fE2B3777b9cf6A94E8e4EF413FcB6B83A32E
First NFT owner address (bech32): 
genesis1hvmlu2ehw7uu7655arjw7sfled4c8gew07vhqe
Current NFT ID #160258 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
160258
Accession (UniProt):
Q1RE96
Name::
Glutathione import ATP-binding protein GsiA
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI (STRAIN UTI89 / UPEC)

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 Q1RE96 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1RE96|GSIA_ECOUT Glutathione import ATP-binding protein GsiA OS=Escherichia coli (strain UTI89 / UPEC) OX=364106 GN=gsiA PE=3 SV=2 MPHSDELDAGDVLAVENLNIAFMQEQHKIAAVRNLSFSLQRGETLAIVGESGSGKSVTALALMRLLEQAGGLVQCDKMLLQRRSREVIELSEQSAAQMRHVRGADMAMIFQEPMTSLNPVFTVGEQIAESIRLHQNASREEAMVEAKRMLDQVRIPEAQTILSRYPHQLSGGMRQRVMIAMALSCRPAVLIADEPTTALDVTIQAQILQLIKVLQKEMSMGVIFITHDMGVVAEIADRVLVMYQGEAVETGSVEQIFHAPQHPYTRALLAAVPQLGAMKGLDYPRRFPLISLEHPAKQEPPIEQKTVVDGEPVLRVRNLVSRFPLRSGLLNRVTREVHAVEKVSFDLWPGETLSLVGESGSGKSTTGRALLRLVESQGGEIIFNGQRIDTLSPGKLQALRRDIQFIFQDPYASLDPRQTIGDSILEPLRVHGLLPGKEAAARVAWLLERVGLLPEHAWRYPHEFSGGQRQRICIARALALNPKVIIADEAVSALDVSIRGQIINLLLDLQRDFGIAYLFISHDMAVVERISHRVAVMYLGQIVEIGPRRAVFENPQHPYTRKLLAAVPVAEPSRQRPQRVLLSDDLPSNIHLRGEEVAAVSLQCVGPGHYVAQPQSEYAFMRR