P86394 AF NFT

Bacteriocin SRCAM 1580

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiacy3eb5oj2kvv5micneeztveatc646e3zgd46hb6fxngtqxs2g64/metadata.json
IPFS of structure file: 
bafybeicffummnc3omun2xc26ypubxgxlyvk3j77wnuk7sjs5qcwpp2vp5i/AF-P86394-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6913491A082FA6E53D710FF4F219FF9D39dE1941
First NFT owner address (bech32): 
genesis1dyf5jxsg97nw20t3pl60yx0ln5uaux2p27rn0n
Current NFT ID #41537 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
41537
Accession (UniProt):
P86394
Name::
Bacteriocin SRCAM 1580
Experimental Method:
Predicted structure
Sequence source:
Niallia circulans

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 P86394 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P86394|BCN80_NIACI Bacteriocin SRCAM 1580 OS=Niallia circulans OX=1397 PE=1 SV=1 VNYGNGVSCSKTKCSVNWGIITHQAFRVTSGVASG