Q9F314 Trigger factor MolNFT, Molecular NFT on GenesisL1

Trigger factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeie4gqfsu2qljnd3edeexwazyigh7ndqflhr4unqcrr7qp7qgaje6m/metadata.json

IPFS of structure file:

bafybeigkq7qpnwkng3iodaxpdprjr5576uz74i3hzprljtwzbekvjgenw4/AF-Q9F314-F1-model_v2.pdb

First NFT owner address (eip-55):

0x3F68E74Da58A02eCfd34cED79740EF24407440ed

First NFT owner address (bech32):

genesis18a5wwnd93gpwelf5emtews80y3q8gs8dy5akj4

Current NFT ID #466255 owner (web3):

0xF435Cc7528760B6B8D880Df3befF1C3095f62B98

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
466255
Accession (UniProt):
Q9F314
Name::
Trigger factor
Experimental Method:
Predicted structure
Sequence source:
STREPTOMYCES COELICOLOR (STRAIN ATCC BAA-471 / A3(2) / M145)

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 Q9F314 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9F314|TIG_STRCO Trigger factor OS=Streptomyces coelicolor (strain ATCC BAA-471 / A3(2) / M145) OX=100226 GN=tig PE=3 SV=1 MKSAVETLNPTRVRLTVEVPFEELKDSLDAAYKKINQQVTVKGFRKGKIPARVIDQRFGRGAVLEEAVNDALPKFYTDAVNEAELNPLGQPEVDITELKDGETLNFTAEVDIRPSIEIPDYSGIEVEVDAVEVTDEDVEKSVEQLRERFASTSPVERAAADGDVLTLDLQAKVDGEILEDGVADGVSYTIGSGELLDGIDEAVKGLEAGGEATFTSELKGGSAAGKEAEVTVKVSQVAARELPELDDDFAQLASEFDTLEELQADSRKRLANMKQYDQATQAQERVLDKLLELVEVPVPEKLLEDEINTRKHNLEHHQLGQMGLDLEKYLELQGKTAEEFETETREAAVKGIKTQFVLDELVKQEKLNVSQEELTEHLMRRAASSGMSPDQFAQAVVEQGQVPLLVGEVARGKALAAVVEKATVKDTNGEIVDLDDEEDEETEAAEADATEAADAEKADDKAEEKTEG

Q9F314 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9F314 research and analysis (ICN3D with VR)

FASTA sequences

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