P29087 AF NFT

Uncharacterized protein in sor 5'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifcalbyjq2symlyowsvx2cgonhnjepaoow4tyytjkmfhqeamy7oqq/metadata.json
IPFS of structure file: 
bafybeiftpoyp6tmlgfhrzplmv7tbuzi25dipahgcvjxcz4b2qzisqpeuzy/AF-P29087-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71351b1FB9B1B80D8d60E1f869F762a9c785B183
First NFT owner address (bech32): 
genesis1wy63k8aekxuqmrtqu8uxnamz48rctvvr932j4d
Current NFT ID #538305 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
538305
Accession (UniProt):
P29087
Name::
Uncharacterized protein in sor 5'region
Experimental Method:
Predicted structure
Sequence source:
ACIDIANUS AMBIVALENS

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 P29087 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P29087|YSO3_ACIAM Uncharacterized protein in sor 5'region OS=Acidianus ambivalens OX=2283 PE=2 SV=2 MVDYLALLSSQNPYDRLDGWFKIDWLIQNNIVTKEKLIEMKDKFLDLLSYNDDTVKLHAWRMVPQLINKGIITVKDVKKYDFLSLLYDSEAWLLVKDLVNSGVIDIESVKKEKEKYIALLKGNELDRIASWSLILDIVNLGIIDKNDVENNKKYLLELFNFPAYDIRFNLLFLVAELISKGVLSPKELEPYEKKIEEIVKDKDFNQFVKIYEKDPRELESIGIHVFNS