Q815E8 AF NFT

Polyamine aminopropyltransferase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiacv5k6hq7svcfq6jwsr72rbeub4twksqmsp5hrw3uipaq2nu5374/metadata.json

IPFS of structure file:

bafybeih4gnppe2m6q6hpycbdsl3hasm2lmpdynggtqj7zvy6g2gec5irji/AF-Q815E8-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C

First NFT owner address (bech32):

genesis1nas9xydhufh8vdqyy0h6l0j79m785zmurgry0u

Current NFT ID #434427 owner (web3):

0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
434427
Accession (UniProt):
Q815E8
Name::
Polyamine aminopropyltransferase 2
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q815E8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q815E8|SPEE2_BACCR Polyamine aminopropyltransferase 2 OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=speE2 PE=3 SV=1 MPKHRKQSKIKIYRITSYKKDKRSELDSDKFELEQQDKHDIQDKQDKQDEQNKQDKQVQSENVTIVPTDSHSLDVWDEISLKEIQAGEHTSLFEEKSNYQNINLVQVNDVRLYLDKQLQFSSVDEQIYHEALVHPIMAKVIDPKRVLILGGGDGLALREVLKYETVLHVDLVDLDEAMINMARNVPEIVSLNKNAFFDNRVNVHVCDAKEFLNSPSSLYDVIIIDFPDPATELLSTLYTSELFARIATFLTEDGAFVCQSNSPADAPLVYWSIGNTIEHAGLTVKSYHTIVPSFGTDWGFHLATNSAHVLDQIEQLYVVPTPRTLPALLFPLFQFKEEHLEQRNLALLNSESNLILHQCYKQEMKF

MOLNFT AF v1_w

NFT data

MOLNFT Q815E8 research and analysis (ICN3D with VR)

FASTA sequences

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