P0DPP7 AF NFT

Protein YqiD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiadmp6xok7rqhc5kgvlgtnstnyhgverqnn4nvzarjuksrmp75xp4q/metadata.json
IPFS of structure file: 
bafybeigrlgj6ise2gdzt32pm263f5lxhk4h6k774tuwhcyedq2ywhfsztm/AF-P0DPP7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa84E035Af4Bd4a83Ad6666Bf9898C14926F85cB9
First NFT owner address (bech32): 
genesis14p8qxkh5h49g8ttxv6le3xxpfyn0sh9e33rqjk
Current NFT ID #537747 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
537747
Accession (UniProt):
P0DPP7
Name::
Protein YqiD
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 P0DPP7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DPP7|YQID_ECOLI Protein YqiD OS=Escherichia coli (strain K12) OX=83333 GN=yqiD PE=1 SV=1 MFIAWYWIVLIALVVVGYFLHLKRYCRAFRQDRDALLEARNKYLNSTREETAEKVE