B3NY06 DM7 family protein GG19680 MolNFT, Molecular NFT on GenesisL1

DM7 family protein GG19680

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeighbzbh4ug2kyq7s7jfr7sa5qgbsbjy444eektc5rmo64uzath5lq/metadata.json

IPFS of structure file:

bafybeianybmpl3xk34up2gztjhgyb7i73m2barzrtyv6beppsed7smbne4/AF-B3NY06-F1-model_v2.pdb

First NFT owner address (eip-55):

0x17929714e8AC933ecd9259e972Ac1d436713b8a9

First NFT owner address (bech32):

genesis1z7ffw98g4jfnanvjt85h9tqagdn38w9ftlxt4c

Current NFT ID #99208 owner (web3):

0xE98bd0722a8eEb0377b675F85e9ceBC2DbC988D6

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
99208
Accession (UniProt):
B3NY06
Name::
DM7 family protein GG19680
Experimental Method:
Predicted structure
Sequence source:
Drosophila erecta

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 B3NY06 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3NY06|DM7A_DROER DM7 family protein GG19680 OS=Drosophila erecta OX=7220 GN=GG19680 PE=3 SV=1 MLQIASGNREEGQVVELKKTKYLPYLFNLVMPKSFYHSHNRIVVARLYSNVHKHDKQAAEFFEGFQTPCFEVPASMFPGEAPLNKIVFMPPVMLPMGFEAGGVFGPGVLPRRSYPIDLTASGHKGQSPPLFVGLRRLYVQLPSEIESFLDKMGEFPATQDTLVYGMRRSNQLLKEEQAQELMLRNDLSLSMAYNLPAPPTPPSPYPYRHVPVQYNIYTPDLSNVLMMMPHQRKLTVAILSTVNNPHVPSVALATMGDEECPKFELPSDVFPICEGVNRPIFLPRRFLPKGFESGCVFKPGSLSELWFMGYMGRFSPPQPQHNCAITPPLFVGKISRVVLAFDLMKNIQMEYGAAQSSAQSEGSLNAVEPKKPNVPITKGFLVMETEHPTPPSGGYSLQSYQEGSAKGCVVKVEKGETQEMDEAHPTKEESKSEEEGEVQSGSQEEKYLSWFKVDSDIDLIAETMVDMGTAQMSLIDEEALPGVDGACVLNQLREVFEDRNEIRQNIDQLIHDHIYRMNRDRMLALRLPIRTCFRCGLLPCRHF

B3NY06 AF NFT

MOLNFT AF v1

NFT data

MOLNFT B3NY06 research and analysis (ICN3D with VR)

FASTA sequences

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