Q59MZ9 AF NFT

Putative alpha-1,3-mannosyltransferase MNT4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaxakkw73lo3loe3n7tu4yxjz7ou3locejtlpsr7ub5txzutnxpz4/metadata.json
IPFS of structure file: 
bafybeicb6fqh3ovlhnweww4kecrapitmudb6dtgf5sin4thg65y35j5n4q/AF-Q59MZ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #239791 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
239791
Accession (UniProt):
Q59MZ9
Name::
Putative alpha-1,3-mannosyltransferase MNT4
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN SC5314 / ATCC MYA-2876)

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 Q59MZ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59MZ9|MNT4_CANAL Putative alpha-1,3-mannosyltransferase MNT4 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=MNT4 PE=2 SV=1 MKFHLKRYVIVTSILLSFFLLFRRQFLPLTQRQPNPINNELVSFDLIKQRNKFENPIYAKWKLSSSSPLETDLTTRCNDYFQQLLTQENFQINYHDSGYKTEPFVYKRKKWLKERIRSLRKQYKFDKNKDKYDFDQIAKQEFSIVSKNQSIHELNIYQHFSHTRIFGKCFATNNNNNNNNGVINMENPQSNQLCKSFVQKLYPWMSGNLPIFERNKERSPPQLDDSTDCIIEQIYKNSKGKGKGIIIPLMTQDKSNNQIQNIGRLIKVLRGLNNTLPIEITFMELITPEAKQQLYDIATSDSQMYPTKQDIAFVDLSPTTTNQVKGSISDSSIITLSSIFTSFEEFIILNQHIIPLIELTKFFNNERYKLHGTYFFKSPSKLKYRTTKFNIGFHEIASFIKNQLIPNKFDKHYFNLYQKGSENGDEVTIDRFFNYQFNNLIDSSLIIFNKSKTLSGLLISGNFEFLYHDDLFNIRINNTPTKTKMDYLWLGQYISGINEQIIFNFNYAIMPGILTPSQNLPKDSIECLEICSSSWGQLSDIDDISLLYITSHQLQNWLNHQKFFESLLKDKYEFKFNELVDNFLITNTNTNTNTNTNTNGNTNDKDSTKLTMGRIDLSIFEKIKTQPLKIETIIRPPTLIEPINVLGYNEPDQAWVHQDDFDRIGQNGQGQGQGQGHPFYCVYSSIGDPLKEGIRGLSINVEQSLQKKYKKLIEIWLQD