O31970 AF NFT

SPbeta prophage-derived uncharacterized protein YomN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigisrx64hkugetwrx5lfypdvoaqecb55oe2l2vj4eliddtyjlqfje/metadata.json
IPFS of structure file: 
bafybeifgtmvgblicx4app2ev3fvz23etbduf3vdrsozlcta2uyca6rfvpi/AF-O31970-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc496B828ad35CabDe9f44032c02120185816019E
First NFT owner address (bech32): 
genesis1cjtts29dxh9tm605gqevqgfqrpvpvqv7cd5f6m
Current NFT ID #535911 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
535911
Accession (UniProt):
O31970
Name::
SPbeta prophage-derived uncharacterized protein YomN
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 O31970 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O31970|YOMN_BACSU SPbeta prophage-derived uncharacterized protein YomN OS=Bacillus subtilis (strain 168) OX=224308 GN=yomN PE=4 SV=1 MAKTIKDIKAMVEQAAIQSIHKSSSNVKQIMVKTGQEHIVEDVYGAYDPLLYERTGQVKDAFITTNESNGVSLDNIREDDGKDIATVIETGQGYTYPDSYGYGYGNPRPFMKNTSETLRDGRLTAALKKDLKADGIKTD