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Protein p K a Prediction with Machine Learning:

Zhitao Cai (6661160) ; Fangfang Luo (2134597) ; Yongxian Wang (11802647)..
https://figshare.com/articles/journal_contribution/Protein_p_i_K_i_sub_a_sub_Prediction_with_Machine_Learning/17134541. , 1753

Link: https://doi.org/10.1021/acsomega.1c05440.s001

RT Journal
T1 <Title>Protein p K a Prediction with Machine Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_17134541&Exemplar=1&LAN=DE
				
A1 Zhitao Cai (6661160)
A1 Fangfang Luo (2134597)
A1 Yongxian Wang (11802647)
A1 Enling Li (11802650)
A1 Yandong Huang (3132228)
YR 1753
K1 Biophysics
K1 Biochemistry
K1 Genetics
K1 Inorganic Chemistry
K1 Plant Biology
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Physical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 validation sets created
K1 279 soluble proteins
K1 represent protein electrostatics
K1 grid charge representation
K1 ph molecular dynamics
K1 efficient protein p
K1 based protein p
K1 cphmd benchmarking simulations
K1 protein p
K1 protein structure
K1 grid charges
K1 values derived
K1 machine learning
K1 k </
K1 deep learning
K1 cphmd implemented
K1 continuous constant
K1 avoid discontinuities
K1 associated relationship
K1 >< sub
K1 </ sub
JF https://figshare.com/articles/journal_contribution/Protein_p_i_K_i_sub_a_sub_Prediction_with_Machine_Learning/17134541
LK http://dx.doi.org/https://doi.org/10.1021/acsomega.1c05440.s001
DO https://doi.org/10.1021/acsomega.1c05440.s001
SF ELIB - SuUB Bremen

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