P9WFF4 AF NFT

(2Z,6E)-farnesyl diphosphate synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia7lzikalff6jsacyuhzo3zo4ernvogra7i6uteksztqgiab33lz4/metadata.json
IPFS of structure file: 
bafybeid2rrxddkn4whqe45oucz6rhcu3v545brxvfqv6tlhcbh5lryj5bm/AF-P9WFF4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #540437 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
540437
Accession (UniProt):
P9WFF4
Name::
(2Z,6E)-farnesyl diphosphate synthase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WFF4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFF4|ZFPP_MYCTO (2Z,6E)-farnesyl diphosphate synthase OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT1118 PE=3 SV=1 MEIIPPRLKEPLYRLYELRLRQGLAASKSDLPRHIAVLCDGNRRWARSAGYDDVSYGYRMGAAKIAEMLRWCHEAGIELATVYLLSTENLQRDPDELAALIEIITDVVEEICAPANHWSVRTVGDLGLIGEEPARRLRGAVESTPEVASFHVNVAVGYGGRREIVDAVRALLSKELANGATAEELVDAVTVEGISENLYTSGQPDPDLVIRTSGEQRLSGFLLWQSAYSEMWFTEAHWPAFRHVDFLRALRDYSARHRSYGR