P0AG27 AF NFT

Uncharacterized protein YibN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigfvmr3vyeapasvukw6onkzt4pps57jgt7gsipy6uwcffaf55j57e/metadata.json
IPFS of structure file: 
bafybeibkjhwnj66basiqjknt3aqp2x4v3xwpitq3oismieafbxkj2co3hi/AF-P0AG27-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBb461a37C144bDcd443cdD794b3F18b7937f8E19
First NFT owner address (bech32): 
genesis1hdrp5d7pgj7u63pum4u5k0cck7fhlrsexgprzf
Current NFT ID #531615 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
531615
Accession (UniProt):
P0AG27
Name::
Uncharacterized protein YibN
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI (STRAIN K12)

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 P0AG27 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0AG27|YIBN_ECOLI Uncharacterized protein YibN OS=Escherichia coli (strain K12) OX=83333 GN=yibN PE=1 SV=1 MQEIMQFVGRHPILSIAWIALLVAVLVTTFKSLTSKVKVITRGEATRLINKEDAVVVDLRQRDDFRKGHIAGSINLLPSEIKANNVGELEKHKDKPVIVVDGSGMQCQEPANALTKAGFAQVFVLKEGVAGWAGENLPLVRGK