Q9VYM3 AF NFT

Meckel syndrome type 1 protein homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4teou637okm6lrjpliehe7olnq7sp4lrunfdx7u4j4nlpwwiebq/metadata.json
IPFS of structure file: 
bafybeidxgew4spbckdbzulfifzrvrs2fbqxpijtcyz4jrpvhpno34mh2ia/AF-Q9VYM3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdCb759BBBC4b1530E42E18346807a357A0FEF24f
First NFT owner address (bech32): 
genesis1mjm4nwaufv2npepwrq6xspar27s0auj0fjxg3s
Current NFT ID #236480 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
236480
Accession (UniProt):
Q9VYM3
Name::
Meckel syndrome type 1 protein homolog
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VYM3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VYM3|MKS1_DROME Meckel syndrome type 1 protein homolog OS=Drosophila melanogaster OX=7227 GN=Mks1 PE=1 SV=1 MQKSRDIKRTGVYRVSGNIGDLQLELKLRHISEWLPVPKFEYAGAQSTNAYGDHYPGSEEDIWQDCYIHVPQGDDSCGGKTGLGYNCSYYNVGIGYTGRRRRSPISQHEGEMEKDKNEGEITDLESQSNRSWSILSDNSRPPAGDLFYKRNKELCNGAIATIRISWQQKHFSQAELEQYINNPGSCASKLQRRYHRWALETLKLQQRYLRKLENLEDAETVEDPEPITIRRRIRKPKAKQRGCSAAAHPTITSLSSANMSEVSILDDPNFAARTCLIHTLLDNDSESLMPAEASEFHKKGYQLMYIYADLQQDTLLVSIRYDPEQGLLYVYPDFSSSAQDLDYVIQIERNNDCRQLYAFGFENVTPLEAYDDDGFSEEADGEDEQELGDGLPIEEDLPEEASAEEILEFYRRRREAASERRSLLQFEMPPKRMKRVSLLLELQEGQNFENPNIHVRYYLKAPANTFYEGTPGVDTMQGATATCRNAGDWRSAHLGHCWQVTLLLEEQHHPADLLHLYFEVISIDSWQRERCEGYAHYAIPLTSALPTDSIRLQCIRPLGNWLDALNRYFIGGRQLFDFESFFDVHRQSEMHSRLNFNSDRPMTTTGTLSLRLQKLQQRQIDTSDQFHHHFHLELGNDSSDDGDSNDDDVRSSSNPDTSRATTLDEVMAAFVEARKRIELLLGNSSETASPSSAYYQAEF