B9WJ48 AF NFT

SWI5-dependent HO expression protein 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigjbzlxxutqw4pbijoeclfcjwrnt7ywj6lemvowkhvow46y2m4n4e/metadata.json
IPFS of structure file: 
bafybeihg77pzoftac3r6p6beypiodsr2lqkaz4p5yqndmnf6smnqz4uaze/AF-B9WJ48-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEf23550c763554310A2aB457254725BFb493012e
First NFT owner address (bech32): 
genesis1au342rrkx42rzz32k3tj23e9h76fxqfwcxdnwg
Current NFT ID #428162 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
428162
Accession (UniProt):
B9WJ48
Name::
SWI5-dependent HO expression protein 3
Experimental Method:
Predicted structure
Sequence source:
Candida dubliniensis (strain CD36 / ATCC MYA-646 / CBS 7987 / NCPF 3949 / NRRL Y-17841)

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 B9WJ48 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9WJ48|SHE3_CANDC SWI5-dependent HO expression protein 3 OS=Candida dubliniensis (strain CD36 / ATCC MYA-646 / CBS 7987 / NCPF 3949 / NRRL Y-17841) OX=573826 GN=SHE3 PE=3 SV=1 MTDTPNSPSKNTTKSASSSTKVIDSLHSKIDQLTDELTALKQSHQELTKKHSITAKKNDSFVDQLANAKHENDMLSALLKRKERRILDLEDQFNELTSQNESLVLSNKNMKIRCDNLQSNSNANIAEFERLKISYDALIASQMEYKNHYQQELNNLQIAFDNYKLENTKRFEELQTSIVNNDKDIDTLLDSLTNKRKAMDNIYVNKNNKVLQLLGNLAHLAKLHGQDTKSQVEQNLNIIEQLLVKYPDLQEKILEKEKIEIDLTEIIAHSNDVLTNSSFDEDTTLINSPDLENNHNFNNHNTSGSATPNNNNHNNNSNSHSLQSKKRKNYKRNSLILKESPPIISENVPSSLPKKPQVNNNLINIPKSRSKFNTPPTTPRQTTPRQFTNHNNDFEITHQWSSNNNNNNNNNNNNHRRNNSVDSRSDNGHHPHRRNNSYDSRPDHGQQHRRQPSQQNNNYNNNNYNNNNNNNNNINNNSNGFVKRSGSVRNGNNYNNNNGNGNGNGNGNANNNANNHGNKSKRRSTYNNNNNNNNNSKRNSQLFDNNFALNV