Q6FWD1 AF NFT

GDP-Man:Man(3)GlcNAc(2)-PP-Dol alpha-1,2-mannosyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4j3v5tudd46bc747jtmtmtzxxd7esvdl4lmbpucrd6nzgkwjiqa/metadata.json
IPFS of structure file: 
bafybeigkpyku23j6szqiz5g5n5gichflo2tch6gghj3narm4jj6kn2mfly/AF-Q6FWD1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #13459 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
13459
Accession (UniProt):
Q6FWD1
Name::
GDP-Man:Man(3)GlcNAc(2)-PP-Dol alpha-1,2-mannosyltransferase
Experimental Method:
Predicted structure
Sequence source:
CANDIDA GLABRATA (STRAIN ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65)

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 Q6FWD1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6FWD1|ALG11_CANGA GDP-Man:Man(3)GlcNAc(2)-PP-Dol alpha-1,2-mannosyltransferase OS=Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) OX=284593 GN=ALG11 PE=3 SV=1 MSTMLWVVVAAVLLFVLPVVRVPMLDLTRRNIIRWQRGGIQKYTTRYYGFFHPYCNAGGGGEKVLWKAVQETLLYDPNCSIVIYTGDVDSSPKEIIANVIKRFDYEMDFNRVQFVFLKYRKWVDGSTWKHLTLVGQAMGSMLLTIEALLRFVPDIWLDTMGYPFGYPVVRWLAGLPVMTYTHYPVISSDMIHKIEIENQKQPSKKGTLKLIYWKLFMKWYQYVGKFVDVAITNSTWTGNHIRSIWKRVKIKVMYPPCSTEKLVKNSSPTAYETRQNQAVLIAQFRPEKRHKLVIQAYSDFISRTASKDHFKLVLIGSTRSEEDRAYVETLKSWAFDTLKIPKESLTFKTDCSYDDIKKFLAESTFGINAMWNEHFGIAVVEYAAAGLISLVHASAGPLLDIIVPWDSAKKQQLPYSDSTKDTRTGLFFKDKSDPDYKPTDAQFNNYGSLADIFEEANSLSIAERKQISERAKECASNKFSDNTFNHAWDHALDELEHKTSRLGSN