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Pin-Kuang Lai
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Coarse-grained modeling of protein second osmotic virial coefficients: sterics and short-ranged attractions
A Grünberger, PK Lai, MA Blanco, CJ Roberts
The Journal of Physical Chemistry B 117 (3), 763-770, 2013
682013
Machine learning applied to determine the molecular descriptors responsible for the viscosity behavior of concentrated therapeutic antibodies
PK Lai, A Fernando, TK Cloutier, Y Gokarn, J Zhang, W Schwenger, ...
Molecular Pharmaceutics 18 (3), 1167-1175, 2021
472021
Rapid determination of entropy and free energy of mixtures from molecular dynamics simulations with the two-phase thermodynamic model
PK Lai, CM Hsieh, ST Lin
Physical Chemistry Chemical Physics 14 (43), 15206-15213, 2012
462012
Insights into membrane translocation of protegrin antimicrobial peptides by multistep molecular dynamics simulations
PK Lai, YN Kaznessis
ACS omega 3 (6), 6056-6065, 2018
422018
Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics
PK Lai, A Gallegos, N Mody, HA Sathish, BL Trout
MAbs 14 (1), 2026208, 2022
382022
Calculation of therapeutic antibody viscosity with coarse-grained models, hydrodynamic calculations and machine learning-based parameters
PK Lai, JW Swan, BL Trout
MAbs 13 (1), 1907882, 2021
322021
Machine learning feature selection for predicting high concentration therapeutic antibody aggregation
PK Lai, A Fernando, TK Cloutier, JS Kingsbury, Y Gokarn, KT Halloran, ...
Journal of Pharmaceutical Sciences 110 (4), 1583-1591, 2021
302021
Prediction of miscibility gaps in water/ether mixtures using COSMO-SAC model
ST Lin, LH Wang, WL Chen, PK Lai, CM Hsieh
Fluid phase equilibria 310 (1-2), 19-24, 2011
302011
Identification and elucidation of proline‐rich antimicrobial peptides with enhanced potency and delivery
PK Lai, DT Tresnak, BJ Hackel
Biotechnology and bioengineering 116 (10), 2439-2450, 2019
262019
Free energy calculations of microcin J25 variants binding to the FhuA receptor
PK Lai, YN Kaznessis
Journal of chemical theory and computation 13 (7), 3413-3423, 2017
182017
DeepSCM: An efficient convolutional neural network surrogate model for the screening of therapeutic antibody viscosity
PK Lai
Computational and Structural Biotechnology Journal 20, 2143-2152, 2022
172022
Systematic mutagenesis of oncocin reveals enhanced activity and insights into the mechanisms of antimicrobial activity
PK Lai, K Geldart, S Ritter, YN Kaznessis, BJ Hackel
Molecular systems design & engineering 3 (6), 930-941, 2018
162018
Differences in human IgG1 and IgG4 S228P monoclonal antibodies viscosity and self-interactions: Experimental assessment and computational predictions of domain interactions
PK Lai, G Ghag, Y Yu, V Juan, L Fayadat-Dilman, BL Trout
MAbs 13 (1), 1991256, 2021
152021
Rapid determination of entropy for flexible molecules in condensed phase from the two-phase thermodynamic model
PK Lai, ST Lin
RSC Advances 4 (19), 9522-9533, 2014
122014
Internal coordinate density of state from molecular dynamics simulation
PK Lai, ST Lin
Journal of Computational Chemistry 36 (8), 507-517, 2015
52015
Calculation of therapeutic antibody viscosity with coarse-grained models, hydrodynamic calculations and machine learning-based parameters. mAbs 2021, 13 (1), 1907882
PK Lai, JW Swan, BL Trout
DOI 10 (19420862.2021), 1907882, 0
5
Determination of Metabolic Fluxes by Deep Learning of Isotope Labeling Patterns
RC Law, S O’Keeffe, G Nurwono, R Ki, A Lakhani, PK Lai, JO Park
bioRxiv, 2023
12023
DeepSP: Deep learning-based spatial properties to predict monoclonal antibody stability
L Kalejaye, IE Wu, T Terry, PK Lai
Computational and Structural Biotechnology Journal 23, 2220-2229, 2024
2024
Teaching biologics design using molecular modeling and simulations
A Phillips, A Srinivas, I Prentoska, M O'Dea, M Kustrup, S Hurley, S Bruno, ...
Biochemistry and Molecular Biology Education 52 (3), 299-310, 2024
2024
Investigating the mechanisms of antibody binding to alpha-synuclein for the treatment of Parkinson's Disease
MC Harrison, PK Lai
bioRxiv, 2024.02. 27.582350, 2024
2024
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