A6U817 AF NFT

UPF0173 metal-dependent hydrolase Smed_0942

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib46dkyijnsqwgcxpdsc4qziqivlmc37y6dyzfcnrvu7my55xgd6i/metadata.json
IPFS of structure file: 
bafybeih2nyezhb4qoazctz6i3nxdibs3cegkay2kin7ttcyhlix5xozhr4/AF-A6U817-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5AF1007bEEe0CF438B019cDFeDD7CfAd3AB7afA8
First NFT owner address (bech32): 
genesis1ttcsq7lwur858zcpnn07m47045at0tagkx8p7p
Current NFT ID #523025 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
523025
Accession (UniProt):
A6U817
Name::
UPF0173 metal-dependent hydrolase Smed_0942
Experimental Method:
Predicted structure
Sequence source:
Sinorhizobium medicae (strain WSM419)

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 A6U817 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6U817|Y942_SINMW UPF0173 metal-dependent hydrolase Smed_0942 OS=Sinorhizobium medicae (strain WSM419) OX=366394 GN=Smed_0942 PE=3 SV=1 MKIKWLGHSAFHVETAKAKILIDPFFTGNPAFRDGERRAVTAGLTHILLTHGHGDHVGDTVAIAKETGATVLANFDLCMWLGRQGVAKLEPGNTGGTIRLGSFSATFVNALHSSAQITEDGVSHSLGNANGLVLHFDDEPTLYHMGDTDIFSDMALVQELHEPEIGIVPIGDRFTMGGAVAALACQRYFKFATAIPCHYGSFPIIDQTPETFVAGMDGASTLVATPEVGGIVNA