P10765 AF NFT

Prolactin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaczc6bad47lyu2vvgiiwgz55nhsvjjmknas2b6fcd2kjfxjmsqfy/metadata.json
IPFS of structure file: 
bafybeicstljpdslhujygcfslwucpm4lbc64lraloduq7dc7e7krsnsskdq/AF-P10765-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x43f3f7B2cb49a1b2aF0201708A2239ED4b2af5eb
First NFT owner address (bech32): 
genesis1g0el0vktfxsm9tczq9cg5g3ea49j4a0ta926r7
Current NFT ID #308888 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
308888
Accession (UniProt):
P10765
Name::
Prolactin
Experimental Method:
Predicted structure
Sequence source:
Loxodonta africana

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 P10765 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P10765|PRL_LOXAF Prolactin OS=Loxodonta africana OX=9785 GN=PRL PE=1 SV=1 IPVCPRGSVRCQVSLPDLFDRAVMLSHYIHSLSSDMFHEFNKQYALGRGFIPRAINSCHTSSISTPEDKDQAQQTHHEVLMDLILGLLRSWNDPLDHLASEVHSLPKAPSALLTKATEVKEENQRLLEGIEKIVDQVHPGAKENKAYSVWSGLPSLQTTDEDARLFAFYNLFRCLRRDSHKIDSYLKLLKCRIVYNNNC