A4H217 AF NFT

Beta-defensin 107A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidntk3dzrq7spsm7sigqbdd2ldnypbfinvjnef5aaja4kpupxf5mi/metadata.json
IPFS of structure file: 
bafybeiaodflxyzqqsrv2cdzmwtbdo5x5g4h2elva26kt32lzp676kjccia/AF-A4H217-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb031A3c673fEB8fFff566849b60910aA4e1F5f8C
First NFT owner address (bech32): 
genesis1kqc683nnl6u0ll6kdpymvzgs4f8p7huvk6jw5f
Current NFT ID #86866 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
86866
Accession (UniProt):
A4H217
Name::
Beta-defensin 107A
Experimental Method:
Predicted structure
Sequence source:
Hylobates lar

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 A4H217 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4H217|D107A_HYLLA Beta-defensin 107A OS=Hylobates lar OX=9580 GN=DEFB107A PE=3 SV=1 MKIFFFIFAALILLAQIFQARTAIHRALICKRMEGHCEAECLTFEVKIGGCRAELAPFCCKNRKKH