C0HKL7 AF NFT

Peptide PGLa-BM1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibe4mllbrcsm6w6zzjlu4eva336osvvvztktolhj7hx6mj2bneehq/metadata.json
IPFS of structure file: 
bafybeiag5jqxcbxd4bsbnafh2vxht4d4ywmdnwffvez5b6nblxogq4wqty/AF-C0HKL7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x48cAFA58220078394F6FF347a5D7047Dbd6CD9CB
First NFT owner address (bech32): 
genesis1fr905kpzqpurjnm07dr6t4cy0k7kekwtw0mkg3
Current NFT ID #296104 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
296104
Accession (UniProt):
C0HKL7
Name::
Peptide PGLa-BM1
Experimental Method:
Predicted structure
Sequence source:
Xenopus boumbaensis

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 C0HKL7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0HKL7|PGBM1_XENBM Peptide PGLa-BM1 OS=Xenopus boumbaensis OX=288550 PE=1 SV=1 GMASKAGSVLGKVAKVALKAAL