Q95M67 AF NFT

Beta-defensin 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibsrklicweqcm3ztz3ku7jpfpfi3lztk552gxxbuxh2cxjbk6nhja/metadata.json
IPFS of structure file: 
bafybeihr3vp2c5oux42c3a3r74gwkveogyx2hydrayg2gowp6x2fm7xw5a/AF-Q95M67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #93980 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
93980
Accession (UniProt):
Q95M67
Name::
Beta-defensin 1
Experimental Method:
Predicted structure
Sequence source:
Cercopithecus erythrogaster

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 Q95M67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95M67|DEFB1_CERER Beta-defensin 1 OS=Cercopithecus erythrogaster OX=161496 GN=DEFB1 PE=3 SV=1 MRTSYLLLFTLCLLLSEMASGDNFLTGLGHRSDHYICVRSGGQCLYSACPIYTKIQGTCYHGKAKCCK