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1 esirable properties (high lipophilicity, low polar surface area).
2 ted by their high molecular weight and total polar surface area.
3 g a formal positive charge and a low percent polar surface area.
4 ve correlation with the change in buried non-polar surface area.
5 ely correlated with an osmolyte's fractional polar surface area.
6 hydrophobic core and are composed of highly polar surface area.
7 versely correlated with buried total and non-polar surface area.
8 ations that have a low solvent accessible 3D polar surface area.
9 hemical properties like logP, solubility, or polar surface area.
10 o reduce hydrogen bond donor count and total polar surface area.
11 bond donors/acceptors, rotatable bonds, and polar surface area.
12 g duplex involving significant burial of non-polar surface areas.
13 namics, and ensemble-based three-dimensional polar surface area (3D-PSA) studies showed that ensemble
15 For CYP2D6, a clear relationship between polar surface area and charge was observed, with the mos
16 w that mean values of lipophilicity, percent polar surface area and H-bond donor count are the same,
17 ccumulation, such as formal charge, positive polar surface area and hydrogen bond donor surface area.
18 ization of molecular properties, such as the polar surface area and hydrophilicity, to reduce the cen
19 lues correlate with high crosstalk, and high polar surface area and log S correlate with low crosstal
20 able bonds, provides the potential to shield polar surface area and reinforces binding through a rest
21 ility, showing improvements over topological polar surface area and the parallel artificial membrane
22 for readily by the small loss of buried non-polar surface area and we hypothesize that the observed
23 nclude the hydrophobic factor (burial of non-polar surface area) and van der Waals interactions toget
24 chemical properties (molecular surface area, polar surface area, and cLogP) were estimated computatio
27 lico models indicated that lipophilicity and polar surface area are key molecular features of OATP in
28 ow that partition coefficient and fractional polar surface area are the key physicochemical propertie
29 ated molecular weights, lipophilicities, and polar surface areas are presented, demonstrating the uti
30 such as hydrogen bond donors and acceptors, polar surface area, aromatic ring count, and rotatable b
32 form in the membrane and the solvent-exposed polar surface area correlate more poorly with PAMPA perm
33 ydrogen-bonding donors and small topological polar surface area correlate with increased MAPbI(3) fil
36 l preferences of mOat1 are explained by high polar surface areas (e.g. phosphate groups), whereas mOa
37 a of (1) 10 or fewer rotatable bonds and (2) polar surface area equal to or less than 140 A(2) (or 12
38 weight, lipophilicity, hydrogen bonding, or polar surface area from their target comparator compound
39 hroughput method to measure the experimental polar surface area (HT-EPSA) as an in vitro surrogate to
40 average, in the burial of apolar surface or polar surface area, implying that van der Waals packing
41 nformations with a low solvent-accessible 3D polar surface area in an apolar environment is correlate
42 y, distribution coefficient, and topological polar surface area in multiparameter optimization (MPO).
43 ocus on linkers that facilitate shielding of polar surface area in the VHL ligand in a nonpolar but n
44 tures, our work reveals that the topological polar surface area is the key feature for the discrimina
45 ree energy change proportional to buried non-polar surface area) is contrasted with the packing-desol
46 ights <400 Da, log D(7.4) < 2.5, topological polar surface area < 75, ligand efficiency > 0.43, and g
47 e PET radioligand, including low topological polar surface area, moderate computed log D, and amenabi
48 of nitrogen atoms, number of chloride atoms, polar surface area, molecular weight, number of aromatic
50 d hERG activity was achieved by lowering the polar surface area of the P3 substituent while retaining
51 erage both the number of rotatable bonds and polar surface area or hydrogen bond count tend to increa
52 ed by the number of rotatable bonds, and low polar surface area or total hydrogen bond count (sum of
53 e molecule to toggle between high and low 3D polar surface area (PSA) conformations is underpinned by
55 of anions with >10% F falls from 85% if the polar surface area (PSA) is < or = 75 A(2), to 56% if 75
57 eration assays was achieved by modulation of polar surface area (PSA) through the introduction of nov
58 good in vitro ADME profiles, with calculated polar surface area (PSA) values of 49-87 angstrom, measu
59 ionship of rotatable bond count (N(rot)) and polar surface area (PSA) with oral bioavailability in ra
60 log D, log K(ow), molecular weight (MW), and polar surface area (PSA)) by an in vitro primary fish gi
62 (log P), dissociation constant (pK(a)), and polar surface area (PSA), on the intercompound variabili
64 erties such as molecular weight, topological polar surface area, rotatable bonds, and hydrogen bond d
65 ination of the number of rotatable bonds and polar surface area successfully categorized compounds.
66 s have low energy conformers that shield the polar surface area through intramolecular hydrogen bondi
68 on" descriptor: ETR, the EPSA-to-topological polar surface area (TPSA) ratio, highlights unique bRo5
70 assays, low lipophilicity, high topological polar surface area (tPSA), and poor bioavailability sugg
71 en bond acceptor (HBA) count and topological polar surface area (TPSA), two descriptors that are typi
72 of our inhibitors was their high topological polar surface areas (TPSA), leading to increased efflux
73 nt (log P) values of 4.5-5.0 and topological polar surfaces area (tPSA) values of approximately 26.0
74 Typically, compounds with high topological polar surface areas (TPSAs) do not cross the BBB passive
75 be necessary to limit both lipophilicity and polar surface area, translating to a need for small comp
76 analyte properties (lipophilicity, pKa, and polar surface area) using one preliminary experiment.
77 products, such as partition coefficient and polar surface area, vary considerably depending on the t
78 ned by BRlogD, log k(w)(IAM) and topological polar surface area, while machine learning provided a lo