Q9P6A5 Probable vesicular-fusion protein sec17 homolog MolNFT, Molecular NFT on GenesisL1

Probable vesicular-fusion protein sec17 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibd7faz4vwgnvxhzi43odcehezemei5h5l5x6ebyo2cmlv6kyjqmm/metadata.json

IPFS of structure file:

bafybeiceyihsrkjq2zvbc5imqzsygw2k3wtxc4orzwfrtelwphlxjhhpse/AF-Q9P6A5-F1-model_v2.pdb

First NFT owner address (eip-55):

0xa73BAb1DabE4333A884D03393eAa10c3B4215494

First NFT owner address (bech32):

genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0

Current NFT ID #423334 owner (web3):

0xa73BAb1DabE4333A884D03393eAa10c3B4215494

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
423334
Accession (UniProt):
Q9P6A5
Name::
Probable vesicular-fusion protein sec17 homolog
Experimental Method:
Predicted structure
Sequence source:
NEUROSPORA CRASSA (STRAIN ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987)

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 Q9P6A5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P6A5|SEC17_NEUCR Probable vesicular-fusion protein sec17 homolog OS=Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) OX=367110 GN=B1D1.150 PE=3 SV=1 MAVDPRVLQQEAEKTLASASKGWGLFGNKEDKYQNAADQYIQAANAFRLQKSNTEAGKCFEEAAKIFTEKLKEPNDAANAMLDAFKVYRKDAPDNAVRCVEVAIKQYTMAGNFRRAASHKENQAEVYENELQNKPEAIKAYTTAAEWYENDGAVALANKLWLKVADLSALAGDFFAAIEKFEKVAEASLGNNLMRYSVKEYFLKAGLCSLATKDMVTAQRNITKYAEKDPSFTGQREYQLLVDLLEAASNNNLEMFQDKLAAYDKMSRLDDWKAAVLLQIKNNFEEADNEFS

Q9P6A5 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9P6A5 research and analysis (ICN3D with VR)

FASTA sequences

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