Q56NG7 AF NFT

Protein BptA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih3nohxjakxixrnl52pydinjldymkimewqfpgcyizdatm23kisdti/metadata.json
IPFS of structure file: 
bafybeieuvkl6jixa3k46shudenh5gq52h27y6b6wqdrkd76pm44lxl4hp4/AF-Q56NG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #45784 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
45784
Accession (UniProt):
Q56NG7
Name::
Protein BptA
Experimental Method:
Predicted structure
Sequence source:
Borrelia japonica

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 Q56NG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q56NG7|BPTA_BORJA Protein BptA OS=Borrelia japonica OX=34095 GN=bptA PE=3 SV=1 MGKILFFGLLLICIFLGFFFYKQKENNIIYNRIVEKFEDNVVIDEIYTHLFKDSNLKELVFIKSQLIIPELEHKKMIKATGYRADAYKALSTVYRFDFKVHDNKILGFKSVIFEGFEDAKVSKHENNLPSEKWQQLKDFNIGDPNINEKFFHLEFPFVVKNTLCVTISKGFFKKIKKLKRLKIMLISNEDREYKIDIENFLPKYNL