A9QZQ4 AF NFT

Trigger factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihqapl6by42rojoqgue3fuszw25cqtg6b6sxhtjcfpv6pvcqac6wm/metadata.json
IPFS of structure file: 
bafybeidx2mehsayk4hvuax76khlat7w2fwpvcngvnueyjgvx6hr6e5gvoy/AF-A9QZQ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFcE1Cc4701f91032c0E3B0766A064D09cFFc5BeC
First NFT owner address (bech32): 
genesis1lnsuc3cplygr9s8rkpmx5pjdp88lcklvsvp0tc
Current NFT ID #466369 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
466369
Accession (UniProt):
A9QZQ4
Name::
Trigger 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 A9QZQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9QZQ4|TIG_YERPG Trigger factor OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=tig PE=3 SV=1 MQVSVETTQGLGRRVTITVAADSIEKAVKSELVKAAKNVRIDGFRKGHVPMNIVEQRYGASVRQDVLGDLMQRNFVDAIIKEKINPAGAPNYVPGEYKQGEDFTYSVEFEVYPEVELKDLESIEVEKPVVEVNDADVDTMLETLRKQQATWKETDAAATAEDRATLDFTGSIDGEEFEGGKATDFVLAMGQGRMIPGFEEGVIGHKAGEEFTIDVNFPEDYHAENLKGKSAKFAIVLKKVEVRELPELTEEFIKRFGVADGSLAGLRAEVRKNMERELKGAVRNRVKTQAIDGLVSANNIDVPTALVDGEIDVLRRQAAQRFGGNEKQAAELPRELFEEQAKRRVVVGLLLGEVISQHELKADEDRVKALIEEMASAYEDPQEVIEFYSKNKELMNNMRNVALEEQAVETLLAKAKVTEKPTTFSELMNQTTAA