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Hit, hits

Sophisticates refrain in the first period but then hit in all future odd periods. In every odd period after the first period, sophisticates will find themselves currently hooked. Since they realize they will hit in even periods, they correctly anticipate that their choice is between hitting every other period versus hitting every period. Hence, their choice of utility profiles in all odd periods after the first is between (-5,2, -5,2,...) from alternating and (-1, -1, -1,. ..) from always hitting. Hitting always is preferable to repeatedly suffering the pain of withdrawal—only to repeatedly become addicted again. [Pg.197]

Hits Wll-like hits Hits Gleevec-like hits... [Pg.146]

Library size Number of hits Hit rate (%) Notes References... [Pg.247]

Two forms of heparin-induced thrombocytopenia (HIT) have been observed. The first (HIT I) is a transient, mild, and benign thrombocytopenia seen soon after initiation of heparin therapy (normally within 2 days) and is felt to be due to inherent plateletaggregating properties of heparin. A second, more severe form of HIT (HIT II) is typically seen later and is immune-mediated. The incidence of HIT II is estimated at 3-5%. The onset is generally 3-14 days after initiation of heparin therapy but may occur sooner with repeat exposure. HIT II may occur with any dose and type of heparin, but the frequency is highest with continuous intravenous infusions of unfractionated heparin. HIT with subsequent thrombosis is a feared complication. These thrombi can form in the venous or arterial circulation. Thrombotic complications include necrotic skin lesions, myocardial infarction, stroke, and gangrene. Hyperkalemia may be seen with heparin therapy due to aldosterone synthesis inhibition. [Pg.1312]

Library Number of compounds (of preferred) Number of matched clusters (of preferred) Number of hits Hit rate (%)... [Pg.609]

A linear detector with a time constant T t would therefore give an output signal that is independent of x and that yields no information on the time profile I t) This is obvious, because the detector measures only the integral over hit) hit 4- t) that is, the sum of the energies of the two pulses, which is independent of the delay time x as long as T > t. Therefore linear detectors with time resolution T cannot be used for the measurement of time profiles of ultrashort pulses with AT [Pg.328]

Note The difference between linear detection (6.35) and nonlinear detection (6.41). With linear detection the sum hit) + hit — x) is measured, which is independent of r as long as r < r. The nonlinear detector measures the signal 5(2[Pg.330]

Batch All Hits Hits/sample Detected events by ... [Pg.158]

Organization Library size 3D7 Screening concentration No. of confirmed hits % Hit rate... [Pg.726]

Methods used Databases used Type of PPARy agonist VS hits Hits with proved activity towards PPARy Reference... [Pg.169]

For time-periodic Hamiltonians Hit) = Hit + T), the Floqnet theorem allows a solution of the time-dependent Schrodinger equation (TDSE) in the following form ... [Pg.48]

Since Equation 3.15 resembles the steady-state problem, it can be rigorously justified that Hit), Hit), (0 and the quasi-energy e are all uniqne fnnctionals of the electron density (spin densities in the spin-polarized theory) [65], with the latter being periodic in time. Thns, the qnasi-energy functional Equation 3.16 can be expressed as a functional of the density. [Pg.48]

Hits— Hits are musical blasts or crashes that emphasize the beat very strongly. Sometimes called verbs, hits may be labeled as such in loop names (for example, Horn Hit Loop.wav). Look for one-shot drum loops and crashes as well. You can also create your own hits from a loop file by carefully splitting it to isolate a single note or chord. [Pg.92]


See other pages where Hit, hits is mentioned: [Pg.271]    [Pg.135]    [Pg.18]    [Pg.291]    [Pg.95]    [Pg.6]    [Pg.218]    [Pg.79]    [Pg.217]    [Pg.186]    [Pg.309]    [Pg.48]    [Pg.218]    [Pg.458]    [Pg.25]    [Pg.163]    [Pg.707]    [Pg.209]    [Pg.213]    [Pg.271]   


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A Hit Generation by Virtual Screening

Accidents near hits/misses

Affinity-Based Screening Methodologies and Their Application in the Hit-to-Lead Phase

Application strategies hit optimization

Approaches to Searching for Hits

Bullet hit squib

Chemoinformatic Tools for Library Design and the Hit-to-Lead Process A Users Perspective

Computational hit identification

Database hits, statistically significant

Defining Inhibition, Signal Robustness, and Hit Criteria

Direct hit

Drug-like hits

Early Optimization or Hit-to-Lead Libraries

Epigenetic Targets in Drug Discovery Cell-Based Assays for HDAC Inhibitor Hit Validation

Experimental Filtering the ADMET Characterization of a Hit Collection

Filtering hits to leads

Genetic Toxicity In Vitro Approaches for Hit and Lead Profiling

Goodness of hit list

HIT Matrix

High hit rate

Hit Generation by Rational Library Design

Hit Identification Strategies

Hit Quality

Hit Rate Parameter and Chemical Profiling

Hit Search Through Database Mining

Hit Units for Nonlinear Cases

Hit Validation and Progression

Hit and Lead Discovery

Hit and lead

Hit and lead profiling

Hit compounds

Hit confirmation

Hit evaluation phase

Hit finding

Hit follow

Hit identification

Hit kinetics

Hit list

Hit molecules

Hit optimization

Hit optimization strategies

Hit probabilities

Hit quality index

Hit rate

Hit threshold

Hit to Lead also Known as Closed Loop

Hit to lead

Hit to lead program

Hit triage

Hit validation

Hit-to-lead optimization

Hit-to-lead phase

Hit-to-lead process

Hit-to-lead stage

Hit-to-lead strategies

Hit/lead generation

Hitachi high throughput purification hit rate

Hitness models, risk calculation

Hits against Receptors

Hitting the right spot

Latent hit

Lead-like hits

Lipophilic hits

Maximum number of hits

Melting and boiling points, HIT

Methods for Fragment Hit Follow-Up

Minimum hit quality

Multi-hit models

Near hits

Near hits reporting

One-hit models

Postprocessing of Pharmacophore-Based Screening Hits

Prioritization of Hits

Profiling Hits

Rational Hit Generation

Reducing the Number of False Positive Hits

Screening Hit Rates and Yields

Screening hit

Screening hit rates

Screening hits, promiscuous

Silico Screening Hit Finding from Database Mining

Single-hit kinetics

Target hit rate

The Hit-to-lead Process

True hit

Two hit hypothesis

Visualization of Library Designs during Hit-to-lead Efforts

Word “hits

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