P35299 AF NFT

Protamine-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmuekfsa2h2l2c3ugguwbr3xd5us2vpeivkm2ob5fm5ojjpi7ona/metadata.json
IPFS of structure file: 
bafybeibb7x52ua4yfzxbzv3hpaayroc52nww3shtf2dnesxlkb5taf6qjy/AF-P35299-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3371708538E23D29A3Bd51b2aAF1CBe50bF8768
First NFT owner address (bech32): 
genesis1kvm3wzzn3c3a9x3m65dj4tcuhegtlpmglnjsvh
Current NFT ID #308962 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
308962
Accession (UniProt):
P35299
Name::
Protamine-2
Experimental Method:
Predicted structure
Sequence source:
Pan paniscus

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 P35299 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P35299|PRM2_PANPA Protamine-2 OS=Pan paniscus OX=9597 GN=PRM2 PE=2 SV=1 MVRYRVRSPSEPSHEVYRQQLHGQEQGHHGQEEQGLSPEHVEVYERTHGHSHYRRRHCSRRRLRRIHRQQHRSCRRRKRRSCRHRRRHRRGCRTRRRTCRKH