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Twelve important pharmacokinetic and toxic properties are evaluated using SCADMET, a program for the prediction of pharmacokinetic and toxic properties.
In order to design molten salt solar receivers, a numerical simulation program for the prediction of characteristics of receivers was developed.
Additionally, to assess the performance of a FEM-based computer program for the prediction of the behaviour of RC beams strengthening according to these techniques, the beams submitted to monotonic loading were numerically simulated.
We further validated our model, designed a simulation program for the prediction of PMA production using experimental data, and further analyzed the carbon flux distribution and change with increasing PMA synthesis rates.
We also thank Dr. MY Zheng (Shanghai Institute of Materia Medica, China) for the providing ZLogS program for the prediction of compounds solubility.
To identify the less conserved structures between Sp_Hsp104 and Sc_Hsp104, we used the structural data obtained from ClpB [41] and Sc_Hsp104 [42] and a program for the prediction of secondary structures [43].
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Furthermore, one can note that better performance of programs for the prediction of long-range contacts are reported by at least two studies for this same α/β class (MacCallum, 2004; Punta and Rost, 2005).
28761 human mapped poly(A) sites have been classified into three classes containing different known forms of polyadenylation signal (PAS) or none of them (PAS-strong, PAS-weak and PAS-less, respectively) and a new computer program POLYAR for the prediction of poly(A) sites of each class was developed.
This paper introduces a novel symbolic regression approach, namely biogeographical-based programming (BBP), for the prediction of elastic modulus of self-compacting concrete (SCC).
This accuracy is important for the identification and functional analysis of genes, for the identification of target genes for marker-assisted gene introgression programs, and for the prediction of the performance of crosses.
Programs employed for the prediction of molecular domains implicated in coiled coils formation were Coils (http://www.ch.embnet.org/software/COILS_form.html) and Marcoil (http://bioinf.wehi.edu.au/folders/mauro/Marcoil/index.html); sequence alignments were obtained using ClustalW (http://www.ebi.ac.uk/Tools/clustalw2/index.html).html
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