P81783 AF NFT

Candoxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibsa43ugx3o36zus7iutetawexijyo337hfdgueotsbjc7yj73gtm/metadata.json
IPFS of structure file: 
bafybeiedsgwvnutkyr5yco5vdzkp2i2tkloo3hy534jl7ac6ysu3uxxczi/AF-P81783-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x42b99fCBf328028516680849Fb75A6A83F1A1bF1
First NFT owner address (bech32): 
genesis1g2ueljln9qpg29ngppylkadx4ql35xl3j2enna
Current NFT ID #1020 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
1020
Accession (UniProt):
P81783
Name::
Candoxin
Experimental Method:
Predicted structure
Sequence source:
BUNGARUS CANDIDUS

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 P81783 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P81783|3NO4_BUNCA Candoxin OS=Bungarus candidus OX=92438 PE=1 SV=2 MKTLLLTLVVVTIVCLDLGYTMKCKICNFDTCRAGELKVCASGEKYCFKESWREARGTRIERGCAATCPKGSVYGLYVLCCTTDDCN