A2SBG2 Trigger factor MolNFT, Molecular NFT on GenesisL1

Trigger factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigzvnpxwglvxdhnwrhvd77za2rwrb6abimi6mokafl7zkvhzxdvfi/metadata.json

IPFS of structure file:

bafybeib3uugipbdscmltqbe7mal7vofdt6cp37mrauh43vgwbba64v4bla/AF-A2SBG2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x732E4190faECa153323BD0294f89362fA205488a

First NFT owner address (bech32):

genesis1wvhyry86ajs4xv3m6q55lzfk973q2jy2uw675u

Current NFT ID #465762 owner (web3):

0xffcCCa7Da70F32A6f766185797d8A09ea11e0830

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
465762
Accession (UniProt):
A2SBG2
Name::
Trigger factor
Experimental Method:
Predicted structure
Sequence source:
Burkholderia mallei (strain NCTC 10229)

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 A2SBG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2SBG2|TIG_BURM9 Trigger factor OS=Burkholderia mallei (strain NCTC 10229) OX=412022 GN=tig PE=3 SV=1 MANVVENLGKLERRVTISLPKDVVQKEIDARIQKLAKNVRMPGFRPGKVPLKMVAQQYAGQVEAEVLSDKIGQEFFTISRAENLRVAGQPSFAPKEDTQQESAYAFDATFEVYPEVKIGDLATAEVERSTTTIGDAEIDRTLDILRKQRVHFHARGEGGEHGDGGADTAAQNGDRVTVDFVGKIDGVAFQGGTAEDFVFVLGEGRMLPEFETAALGLKAGESREFDLKFPDDYHGKDVAGKTAQFTVTLKKVEWPHLPEIDADFAKSLGVEDGDLTKMRAEIKENLEREAKRRTQSIVKNQVMDALLKISELDVPKALIEQDQQRLVEMARQDLAQRGVPNAKDAPIPAEMFADQAERRVKLGLVLAELVKANGLEAKPEQIRAEVDEFAKSYEDPKEVVRWYYSNQQRLAEMEAFVVESNVVDFVLGKAKVTDKEVSFEALASATAQA

A2SBG2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A2SBG2 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience