Q7VA78 AF NFT

2,3-bisphosphoglycerate-independent phosphoglycerate mutase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidfqibwac75haiothtkkq3ckywcvo4rabnxbvefrwpkb55t45pcny/metadata.json
IPFS of structure file: 
bafybeig5fvczshs3unysb7tvaepnto4toililulhjn5bjfb72fhec3tq2a/AF-Q7VA78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9823334B175F9f2683922fd5F25c4D9e96Fd15E9
First NFT owner address (bech32): 
genesis1nq3nxjcht70jdquj9l2lyhzdn6t0690f5rsn8h
Current NFT ID #156963 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
156963
Accession (UniProt):
Q7VA78
Name::
2,3-bisphosphoglycerate-independent phosphoglycerate mutase
Experimental Method:
Predicted structure
Sequence source:
Prochlorococcus marinus (strain SARG / CCMP1375 / SS120)

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 Q7VA78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VA78|GPMI_PROMA 2,3-bisphosphoglycerate-independent phosphoglycerate mutase OS=Prochlorococcus marinus (strain SARG / CCMP1375 / SS120) OX=167539 GN=gpmI PE=3 SV=1 MPNKSSATSMRSGHIAPVVLTILDGWGHREENINNAINNADTPVMDALWQAYPHTLIEASGADVGLPDNQMGNSEVGHLTIGAGRIIQQELVRISNTIRSKKLDQITNLSNLANKLIETDKTLHLVGLCSDGGVHSHINHLCGLLEWAKNKGIQKVAVHAFTDGRDTPAKSSLQYLKIIKEKFEVLGIGELATLCGRYWSMDRDNRWERIEKAYELLTNPNYPLSELSSDEIITNSYDSSITDEFLEPIRLTPSYLKDGDGLIMFNFRPDRARQLIKSITLPSFSEFKRKYQPQLNVVTLTQYEMDLPVSVVFPPESLDNLLGQVISEHGLLQYRTAETEKYPHVTYFFNGGIEQPLPGEKRHLVPSPRVATYDLSPEMSAEKLTKSCQEAIESGIYSLIVINYANPDMVGHTGIHAATKKAISTVDKCIGKILDSTGKMSGTLLITADHGNAELMKGPDGEPWTAHTTNPVPVILIEGEKRKISGQGNQIRLREGGGLADIAPTLLEVLSLPKPDAMTGSSLIETIQTNSKTNLVQQHV