C0HKL8 AF NFT

Peptide PGLa-BM2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihapzjdu4t4vzznmfw2tgaoxwsoa6rkdle7ymowu3wqdku55d4aae/metadata.json
IPFS of structure file: 
bafybeicez2lqyrsul34hjkmsdo3cotnuvervtlp44rc6b5xs7nybey2lrm/AF-C0HKL8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA7c59Aa1aF78FBee5D0d1C99154C1f5124EA4A53
First NFT owner address (bech32): 
genesis15lze4gd00ra7uhgdrjv32nql2yjw5jjn7rxa7w
Current NFT ID #296105 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
296105
Accession (UniProt):
C0HKL8
Name::
Peptide PGLa-BM2
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 C0HKL8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0HKL8|PGBM2_XENBM Peptide PGLa-BM2 OS=Xenopus boumbaensis OX=288550 PE=1 SV=1 GMASKAGQVLGKLAKVAIGAA