Q66FP4 AF NFT

Regulator of sigma D

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiho5zhipgaei2ximo2peiogtjs3gobdczessthsie3sthbsqcqdc4/metadata.json
IPFS of structure file: 
bafybeibarwvchdcyhlxxw4un3frjb5k42la5wcnqwm33eu2a22majrg2o4/AF-Q66FP4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7AaBC15ca535FA309169502EE67F5d02D4116236
First NFT owner address (bech32): 
genesis1024uzh99xharpytf2qhwvl6aqt2pzc3k0jnjfj
Current NFT ID #410920 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
410920
Accession (UniProt):
Q66FP4
Name::
Regulator of sigma D
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66FP4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66FP4|RSD_YERPS Regulator of sigma D OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=rsd PE=3 SV=1 MLNRLESLTQRVGGSNELIDQWLHARKELLVSYCTVIGIKPQKEKHTPLNAKTLENFCHNLVDYLSSGHFHIYDRIIKEVEGASSPKMALTAKIHPALKNNTQTIMAFHDRYTNIEIDDDSCTEYQQALSDIGEALDARFKLEDQLIQWAAESWQAAQLADADKKSQVN