A9R393 AF NFT

Ribosome-recycling factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia32xlis6siq64rdo76awq4btrmcnwqzqrtp526uimaeginpv5be4/metadata.json
IPFS of structure file: 
bafybeigd5vmthelz4gz4smz4ohkicoy62rgaykuzepqnmo45joz3tabb2y/AF-A9R393-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc4741245B9D699B69B50814e3338420bAb1dc527
First NFT owner address (bech32): 
genesis1c36py3de66vmdx6ss98rxwzzpw43m3f8rhywnq
Current NFT ID #392967 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
392967
Accession (UniProt):
A9R393
Name::
Ribosome-recycling factor
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R393 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R393|RRF_YERPG Ribosome-recycling factor OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=frr PE=3 SV=1 MINEIRKDAEVRMEKCLEAFQNHISKIRTGRASPSILDGIQVEYYGTATPLRQLANIVVEDSRTLALTVFDRSLSAAVEKAIMTSDLGLNPSSAGTVIRVPLPALTEERRKDLIKVVRAEAEQGRVSIRNVRRDANDKVKALLKDKEISEDEDRRSQDDVQKLTDAYIKKVDAALAVKEAELMDF