LipidBuilder: a framework to build realistic models for biological membranes
10.1021/acs.jcim.5b00501 · doi-reference
10.1021/acs.jpclett.6b01721
10.1021/acs.jpclett.6b01721 · doi-reference
10.1021/ja507832e
10.1021/ja507832e · doi-reference
10.1016/j.bbamem.2015.02.025
10.1016/j.bbamem.2015.02.025 · doi-reference
10.1021/ct200196m
10.1021/ct200196m · doi-reference
RED Server: a web service for deriving RESP and ESP charges and building force field libraries for new molecules and molecular fragments
10.1093/nar/gkr288 · doi-reference
10.1002/jcc.21816
10.1002/jcc.21816 · doi-reference
Molecular insights into the membrane-associated phosphatidylinositol 4-kinase IIα
10.1038/ncomms4552 · doi-reference
10.1038/emboj.2012.15
10.1038/emboj.2012.15 · doi-reference
10.1021/ja2108382
10.1021/ja2108382 · doi-reference
10.1016/j.cell.2016.04.010
10.1016/j.cell.2016.04.010 · doi-reference
10.1039/c2fd20086d
10.1039/c2fd20086d · doi-reference
10.1021/jp071097f
10.1021/jp071097f · doi-reference
Validation of the GROMOS force-field parameter set 45A3 against nuclear magnetic resonance data of hen egg lysozyme
10.1007/s10858-004-5430-1 · doi-reference
10.1007/s00249-011-0700-9
10.1007/s00249-011-0700-9 · doi-reference
10.1002/jcc.20945
10.1002/jcc.20945 · doi-reference
Molecular mechanical and molecular dynamic simulations of glycoproteins and oligosaccharides. 1. GLYCAM_93 parameter development
10.1021/j100011a061 · doi-reference
10.1021/ja00124a002
10.1021/ja00124a002 · doi-reference
Systematic characterization and prediction of post-translational modification cross-talk
10.1074/mcp.m114.037994 · doi-reference
10.1002/pro.2494
10.1002/pro.2494 · doi-reference
10.1038/msb.2012.31
10.1038/msb.2012.31 · doi-reference
10.1016/j.cell.2012.05.036
10.1016/j.cell.2012.05.036 · doi-reference
10.1074/jbc.m807906200
10.1074/jbc.m807906200 · doi-reference
10.1074/mcp.r113.029751
10.1074/mcp.r113.029751 · doi-reference
10.1038/nsmb.1939
10.1038/nsmb.1939 · doi-reference
10.1128/mcb.00460-07
10.1128/mcb.00460-07 · doi-reference
10.1038/nrm1260
10.1038/nrm1260 · doi-reference
10.1101/gad.1135503
10.1101/gad.1135503 · doi-reference
10.1038/47412
10.1038/47412 · doi-reference
10.1002/msb.201304521
10.1002/msb.201304521 · doi-reference
pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC
10.1093/bioinformatics/btw387 · doi-reference
SUMOhydro: a novel method for the prediction of sumoylation sites based on hydrophobic properties
10.1371/journal.pone.0039195 · doi-reference
10.1093/bioinformatics/btv403
10.1093/bioinformatics/btv403 · doi-reference
10.1093/nar/gku383
10.1093/nar/gku383 · doi-reference
10.1016/j.molcel.2010.07.026
10.1016/j.molcel.2010.07.026 · doi-reference
10.1073/pnas.1413825111
10.1073/pnas.1413825111 · doi-reference
What is the evidence for physical therapy poststroke? A systematic review and meta-analysis
10.1371/journal.pone.0087987 · doi-reference
Novel proteomics strategy brings insight into the prevalence of SUMO-2 target sites
10.1074/mcp.m800551-mcp200 · doi-reference
10.1007/s00726-009-0371-3
10.1007/s00726-009-0371-3 · doi-reference
10.1021/ja904951t
10.1021/ja904951t · doi-reference
