Q0HI72 AF NFT

YcgL domain-containing protein Shewmr4_2172

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiad5sjlj6572jazdvlnkc6g2hikayqc3dowobosufzjw7iv54wzku/metadata.json
IPFS of structure file: 
bafybeiftysfko54oxbx4swaoz66v2x7v7ccl42b5gzkz3cw3dwggvscodq/AF-Q0HI72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #511250 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
511250
Accession (UniProt):
Q0HI72
Name::
YcgL domain-containing protein Shewmr4_2172
Experimental Method:
Predicted structure
Sequence source:
Shewanella sp. (strain MR-4)

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 Q0HI72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0HI72|Y2172_SHESM YcgL domain-containing protein Shewmr4_2172 OS=Shewanella sp. (strain MR-4) OX=60480 GN=Shewmr4_2172 PE=3 SV=1 MLCAVYKSSRKADTYLFVNKRDCFDDVPQALLDMFGVPQLVMVFPIAKRESLGIADIQKVRAALEEKGFYLQIPPPQVNLLAEHRVSLGIKD