Q5R7F9 AF NFT

MAP7 domain-containing protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifruc2xamof2yhzi3p7uca6pzddrvzcbs6da7dow47bc5jq4vq5lu/metadata.json
IPFS of structure file: 
bafybeiajnihkpqv62weda6wcjjo6ucebv27zz4ga7kunf3hfo24jx7zrze/AF-Q5R7F9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x767E841c23C1fCf898B47f3029614c98232Bf0FC
First NFT owner address (bech32): 
genesis1welgg8prc8703x950uczjc2vnq3jhu8ug45tqq
Current NFT ID #223087 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
223087
Accession (UniProt):
Q5R7F9
Name::
MAP7 domain-containing protein 2
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R7F9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R7F9|MA7D2_PONAB MAP7 domain-containing protein 2 OS=Pongo abelii OX=9601 GN=MAP7D2 PE=2 SV=1 MERGGGGGFGTGSRPEGTARGTCLPGKIAEPGAVRTSQPNYRPQGMEGFLKSGERQRLAKERREEREKCLAAREQQILEKQKRAKLQYEKQMEERWRKLEEQRQREDQKRAAVEEKRKQKLREEEERLEAMMRRSLERTQQLELKKKYSWGAPLAIGPGGHDGESENTPPPPLGLAASTLPPDAGTTAAAAESTNACDKLSTSTMSLPKPTEPPMSKRLSSSTVAISYSPDRAPLGPLNPSYKSSPTRNIEKKKATSTSTSGAGDVGKEALAGGEASLVEKVKRGQRTATSLPVVNFGSPLRRCEFSGGIPKRPSSPVISKTATKAYPQSPKTTKPPYPGSPVKYRLPALSGQDMPKRKAEKEKSNKEREGTLAQQAAGPQGEDALEKHVVDKHASEKHAAATGGKAENSAALGKPTAGTTDAGEAAKILAEKRRQARLQKEQEEQERLEKEEQDRLEREELKRKAEEERLRLEEEARKQEEERKRQEEEKKKQEEEEKREAGEEAKRKAEEELLLKEKQEQEKPEKEKQEKAMIEKQKEAAEAKAREVAEQMRLEREQIMLQIEQERLERKKRIDEIMKRTRKSDVSPQVKKEDPKMGVQPAVCVEKKTKLVVPNKMEINGLNTCQEINGVDHAAPETYPQDIFSNGLKPAGGLIHLDALDGKSNSLDDSTEEVQSMDVSPVSKEELISIPEFSPVSEMIPGVPLDQNGTGNARALQDLLDFTGPPTFPKRSSENLSLDDCNKNLIEGFNSPGQETPLNTFC