A9RBS1 AF NFT

Probable bifunctional methylthioribulose-1-phosphate dehydratase/enolase-phosphatase E1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiezndkk2llcjukxllb7ucrhpsivopfk6qt2q3bgcd2uyqc7m5nosm/metadata.json
IPFS of structure file: 
bafybeia3ldgd35e6kucx4ljz2tlba2qd6frwkfi42zlauijmq57acrafiq/AF-A9RBS1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7b8e62e0dcf0Bf4048333668837dF89841F58c0C
First NFT owner address (bech32): 
genesis10w8x9cxu7zl5qjpnxe5gxl0cnpqltrqvlx8v3c
Current NFT ID #246862 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
246862
Accession (UniProt):
A9RBS1
Name::
Probable bifunctional methylthioribulose-1-phosphate dehydratase/enolase-phosphatase E1
Experimental Method:
Predicted structure
Sequence source:
PHYSCOMITRIUM PATENS

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 A9RBS1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9RBS1|MTBC_PHYPA Probable bifunctional methylthioribulose-1-phosphate dehydratase/enolase-phosphatase E1 OS=Physcomitrium patens OX=3218 GN=PHYPADRAFT_111231 PE=3 SV=1 MGLDKDGISNIAKERIASSLVEDTKDLAAELCKHFYNQGWVSGTGGSITLKVLESDVDVQERLIVMAPSGVQKERMLPVDMYVLSSDGTVLSAPPAKGAPHKPPKCSECCPLFLKAYKMRNAGAVIHSHGLESCLATMINPTAKEFRITHMEMIKGIAGHGYYDELVVPIIENSAREYELTDALAAAMEAYPKATAVLVRNHGIYIWGDSWISAKTQAECYHYLFNAALKLHQLGLDPADAKHGPLTRPQTLPDFANKRATSKNVFVLDIEGTTTPISFVTEVLFPYARENVSSFFKSTYNSPETLNDIRLLRDQVHEDLRNNVPGATEIPVESAGIDAVVAAIEKNVQAMIKADRKVTALKELQGHIWRIGYENGELKGSVFEDVPEALAKWDARGIKTYIYSSGSREAQKLIFGNTNFGDLRVYLSGFFDTTIGHKREARSYKEIFLTLGVDHPSCITFATDVLAEAVAAKEAGLQAVLLLRPGNAPLPSDHGFRTAKSLLEL