A3N207 AF NFT

Thiol:disulfide interchange protein DsbD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqsgwdnmbbfs44tilw6t2hg7f5ijck6zbcgeqingyeiyranxgqsi/metadata.json
IPFS of structure file: 
bafybeiaksqjqu2q4vepysxoekfid3gg6oyug53rpjrbawnqfpo6jypzc5q/AF-A3N207-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeed72B55F0dD4B7707c70e598051F9ab5d1Eb12c
First NFT owner address (bech32): 
genesis1amtjk40sm49hwp78pevcq50e4dw3avfvf9xszj
Current NFT ID #105673 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105673
Accession (UniProt):
A3N207
Name::
Thiol:disulfide interchange protein DsbD
Experimental Method:
Predicted structure
Sequence source:
Actinobacillus pleuropneumoniae serotype 5b (strain L20)

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 A3N207 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3N207|DSBD_ACTP2 Thiol:disulfide interchange protein DsbD OS=Actinobacillus pleuropneumoniae serotype 5b (strain L20) OX=416269 GN=dsbD PE=3 SV=1 MLKRFIFLLVGITLTLSAHAGLFGNDQPKYLSGAEAFAFSATPKSDKQIELNWQIADGYYLYKKEIQVTPQNAEIQPLAFPAAENYHDEFFGEVEIFRNQLTLPITFSAEQANASLSVHYQGCTKGFCYPPETVTVSLDGQQAVDSAQNVAKNRENSTASQPLANAPKAEQDQLAENLANNRLSIFWFFLLGIGLAFTPCVLPMLPLLSAIVIGNKQRPNTFKALLLSFAYVQGMALTYTLLGLVVAAIGLPFQVALQSPPVLISLAILFTILAASMFGLFEIRLPNSWQQKLNAMSQKQQGGAFGSVFVMGMIAGLVASPCTSAPLSGALLYVAQSGDLLTGGLALYLLALGMGIPLILITLFGNRILPKSGDWLLKVKTAFGFVMLALPVFLLSRILPSHYEPLMWSALAMVFVGWLISVIPTQGVIKQAVRIVLFLTFAVASYPWANLVWNQGNSSHSAQVSNHLAFERVQSLAELQEKLTASQGKKVMLDLYADWCVACKEFEKYTFTDQAVQQKLAEMVVLQVDMTNNSAQNDELMKHFNVLGLPTILFFDESGKELTQSRVTGFLEANQFLNWLNQL