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Старый 05.09.2024, 21:23   #301
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По умолчанию Jay1so Hardwired Stash kit WAV FST TFX


Free Download Jay1so Hardwired Stash kit WAV FST TFX | 111 MB
Kit contents

•50 Hardware samples from my Fantom Xr and Srx 98 soundcard
•30 Custom/ Edited Zenology presets
•10 Xpand Presets
•15 Loops
•5 Mixer presets
•60+ Drums
home page
Код:
https://www.beatstars.com/Jay1so/sound-kits/201649

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Старый 05.09.2024, 21:25   #302
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По умолчанию Mercuriall Ampbox v1.4.2r1


Free Download Mercuriall Ampbox v1.4.2r1 | WiN: 548.9 MB
Mercuriall Ampbox is a next-gen VST/AU/AAX + standalone amp modeling plugin for PC/Mac. It's an ever-evolving platform for all* our products, current and future. You will get Ampbox for free when purchasing one of the supported plugins*. The platform has everything you need to create perfect tones with just one plugin. It's simple, elegant and versatile. Powered by Mercuriall Neural Hybrid Engine v2.0 technology.

* Ampbox supports the following products at this point: 6160III, Dual Rectofire, Euphoria, ReAxis, U530. More products will be added to the platform in future.
Mercuriall Ampbox features
• NEW! Neural Hybrid Engine version 3.0
• Used in 6160III model.
• Power Link technology
• Affects the power supply linkage between poweramp and preamp.
• Freely movable module windows inside the plugin
• Keep open only those modules that you need.
• Preamp/poweramp can be switched off independently
• More options, more flexibility.
• Same oversampling cycle for pedals/preamp/poweramp
• No latency build-up and no additional sound quality losses.
• Stereo-mode
• When used, right/left channels are modeled independently.
• Delay and reverb can be used in parallel
• No extra routing!
• Plugin supports CPU multi-threading
• More cores = better plugin performance.
• Standalone version
• No DAW? No problem, you can still use Ampbox.
• Factory and user presets
• Robust preset system and manual preset sharing options.
Код:
Greetings to Team VR
Код:
Rev1. fixed silence
Код:
http://www.youtube.com/embed/ut7AduSCMO4?rel=0&wmode=transparent
home page
Код:
https://mercuriall.com/cms/details_ampbox

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Старый 05.09.2024, 21:28   #303
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По умолчанию Three Body Tech Deep Vintage Brit 73 AI v1.0.0r1


Free Download Three Body Tech Deep Vintage Brit 73 AI v1.0.0r1 | WiN: 42.9 MB


Deep Vintage
AI-Powered Hardware Simulation Plugin Series
This is a machine that endeavors to pass the human-ear Turing Test,
a deep-learning AI technology with a vintage heart.
Deep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true 'soul' of the vintage gear.
Powered by Three-Body Tech's self-developed APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, Deep Vintage guarantees you the closest listening experience ever to the legendary hardware models, while ensuring a complete real-time processing.
How is it different?
We have been exposed to numerous emulation technologies: physical modeling, convolution... among many others. Regardless of what technics to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices.
APNN was meticulously designed and trained to excel in this task, as its learning is based on audio signals from the real hardware units. Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.
How does it work?
Код:
http://www.youtube.com/embed/1OhoUYnfnU4?rel=0&wmode=transparent
To put it simply, APNN is a neural network specifically optimized for audio processing, which is composed of a massive combination of audio processing modules (EQ, compressor, overdrive, etc.).
To capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes.
Ultimately, APNN achieves an error signal of phase cancellation at about -40dB to -75dB (depending on the hardware model). With this exceptional level of error control, which surpasses even the variance between different production batches of the same hardware model, we can confidently say that APNN is capable of 'deceiving' human ears.
Brit 73 AI
Inspired by the most legendary preamp on this planet. This class-A, transistor preamp with EQ epitomizes the beauty of sound, offering unparalleled clarity, sheen, and bite.
Код:
Rev1 remove timebomb
home page
Код:
https://www.threebodytech.com/en/products/deepvintage

Код:
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Старый 05.09.2024, 21:30   #304
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По умолчанию Three Body Tech Deep Vintage Green AD AI v1.0.0r1


Free Download Three Body Tech Deep Vintage Green AD AI v1.0.0r1 | WiN: 35.8 MB
Deep Vintage

AI-Powered Hardware Simulation Plugin Series
This is a machine that endeavors to pass the human-ear Turing Test,
a deep-learning AI technology with a vintage heart.
Deep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true 'soul' of the vintage gear.
Powered by Three-Body Tech's self-developed APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, Deep Vintage guarantees you the closest listening experience ever to the legendary hardware models, while ensuring a complete real-time processing.
How is it different?
We have been exposed to numerous emulation technologies: physical modeling, convolution... among many others. Regardless of what technics to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices.
APNN was meticulously designed and trained to excel in this task, as its learning is based on audio signals from the real hardware units. Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.
How does it work?
Код:
http://www.youtube.com/embed/1OhoUYnfnU4?rel=0&wmode=transparent
To put it simply, APNN is a neural network specifically optimized for audio processing, which is composed of a massive combination of audio processing modules (EQ, compressor, overdrive, etc.).
To capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes.
Ultimately, APNN achieves an error signal of phase cancellation at about -40dB to -75dB (depending on the hardware model). With this exceptional level of error control, which surpasses even the variance between different production batches of the same hardware model, we can confidently say that APNN is capable of 'deceiving' human ears.
Green AD AI
Does it make any difference when we directly connect an AD (Analog to Digital converter) to a DA (Digital to Analog converter)? Absolutely yes! Inspired by a world's top-tier AD/DA converter, Green AD AI brings analog warmth into the digital world.
Код:
Rev1 remove timebomb
home page
Код:
https://www.threebodytech.com/en/products/deepvintage

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Старый 05.09.2024, 21:32   #305
WarezDownload
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По умолчанию Three Body Tech Deep Vintage Tape M AI v1.0.0r1


Free Download Three Body Tech Deep Vintage Tape M AI v1.0.0r1 | WiN: 36.4 MB
Deep Vintage

AI-Powered Hardware Simulation Plugin Series
This is a machine that endeavors to pass the human-ear Turing Test,
a deep-learning AI technology with a vintage heart.
Deep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true 'soul' of the vintage gear.
Powered by Three-Body Tech's self-developed APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, Deep Vintage guarantees you the closest listening experience ever to the legendary hardware models, while ensuring a complete real-time processing.
How is it different?
We have been exposed to numerous emulation technologies: physical modeling, convolution... among many others. Regardless of what technics to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices.
APNN was meticulously designed and trained to excel in this task, as its learning is based on audio signals from the real hardware units. Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.
How does it work?
Код:
http://www.youtube.com/embed/1OhoUYnfnU4?rel=0&wmode=transparent
To put it simply, APNN is a neural network specifically optimized for audio processing, which is composed of a massive combination of audio processing modules (EQ, compressor, overdrive, etc.).
To capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes.
Ultimately, APNN achieves an error signal of phase cancellation at about -40dB to -75dB (depending on the hardware model). With this exceptional level of error control, which surpasses even the variance between different production batches of the same hardware model, we can confidently say that APNN is capable of 'deceiving' human ears.
Tape M AI
Inspired by a top-tier '70s 2-track tape machine from German
Код:
Rev1 remove timebomb
home page
Код:
https://www.threebodytech.com/en/products/deepvintage

Код:
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Старый 05.09.2024, 21:34   #306
WarezDownload
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По умолчанию Three Body Tech Deep Vintage Tape S AI v1.0.0r1


Free Download Three Body Tech Deep Vintage Tape S AI v1.0.0r1 | WiN: 38.2 MB
Deep Vintage

AI-Powered Hardware Simulation Plugin Series
This is a machine that endeavors to pass the human-ear Turing Test,
a deep-learning AI technology with a vintage heart.
Deep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true 'soul' of the vintage gear.
Powered by Three-Body Tech's self-developed APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, Deep Vintage guarantees you the closest listening experience ever to the legendary hardware models, while ensuring a complete real-time processing.
How is it different?
We have been exposed to numerous emulation technologies: physical modeling, convolution... among many others. Regardless of what technics to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices.
APNN was meticulously designed and trained to excel in this task, as its learning is based on audio signals from the real hardware units. Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.
How does it work?
Код:
http://www.youtube.com/embed/1OhoUYnfnU4?rel=0&wmode=transparent
To put it simply, APNN is a neural network specifically optimized for audio processing, which is composed of a massive combination of audio processing modules (EQ, compressor, overdrive, etc.).
To capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes.
Ultimately, APNN achieves an error signal of phase cancellation at about -40dB to -75dB (depending on the hardware model). With this exceptional level of error control, which surpasses even the variance between different production batches of the same hardware model, we can confidently say that APNN is capable of 'deceiving' human ears.
Tape S AI
Inspired by a 1/4-inch tape machine from the late '80s - early '90s which is favored by many professionals for its unique sonic signature, Tape S AI delivers exceptional sound quality in mixing. Characterized by its warm midranges, smooth high ends, and rich harmonics, it enhances depth and richness in any bus or master mix.
Код:
Rev1 remove timebomb
home page
Код:
https://www.threebodytech.com/en/products/deepvintage

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Старый 05.09.2024, 21:36   #307
WarezDownload
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По умолчанию Three Body Tech Deep Vintage Thick Pre AI v1.0.0r1


Free Download Three Body Tech Deep Vintage Thick Pre AI v1.0.0r1 | WiN: 37 MB
Deep Vintage

AI-Powered Hardware Simulation Plugin Series
This is a machine that endeavors to pass the human-ear Turing Test,
a deep-learning AI technology with a vintage heart.
Deep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true 'soul' of the vintage gear.
Powered by Three-Body Tech's self-developed APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, Deep Vintage guarantees you the closest listening experience ever to the legendary hardware models, while ensuring a complete real-time processing.
How is it different?
We have been exposed to numerous emulation technologies: physical modeling, convolution... among many others. Regardless of what technics to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices.
APNN was meticulously designed and trained to excel in this task, as its learning is based on audio signals from the real hardware units. Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.
How does it work?
Код:
http://www.youtube.com/embed/1OhoUYnfnU4?rel=0&wmode=transparent
To put it simply, APNN is a neural network specifically optimized for audio processing, which is composed of a massive combination of audio processing modules (EQ, compressor, overdrive, etc.).
To capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes.
Ultimately, APNN achieves an error signal of phase cancellation at about -40dB to -75dB (depending on the hardware model). With this exceptional level of error control, which surpasses even the variance between different production batches of the same hardware model, we can confidently say that APNN is capable of 'deceiving' human ears.
Thick Pre AI
Inspired by a legendary vintage-style preamp, that delivers a thick, warm, and smooth sound. It also features a 'Presence' control to enhance additional harmonics. Thick Pre AI's unique 'Deep' switch can make your sound even larger and thicker!
Код:
Rev1 remove timebomb
home page
Код:
https://www.threebodytech.com/en/products/deepvintage

Код:
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Старый 05.09.2024, 21:38   #308
WarezDownload
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По умолчанию Three Body Tech Deep Vintage US Rack AI v1.0.0r1


Free Download Three Body Tech Deep Vintage US Rack AI v1.0.0r1 | WiN: 39.3 MB
Deep Vintage

AI-Powered Hardware Simulation Plugin Series
This is a machine that endeavors to pass the human-ear Turing Test,
a deep-learning AI technology with a vintage heart.
Deep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true 'soul' of the vintage gear.
Powered by Three-Body Tech's self-developed APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, Deep Vintage guarantees you the closest listening experience ever to the legendary hardware models, while ensuring a complete real-time processing.
How is it different?
We have been exposed to numerous emulation technologies: physical modeling, convolution... among many others. Regardless of what technics to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices.
APNN was meticulously designed and trained to excel in this task, as its learning is based on audio signals from the real hardware units. Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.
How does it work?
Код:
http://www.youtube.com/embed/1OhoUYnfnU4?rel=0&wmode=transparent
To put it simply, APNN is a neural network specifically optimized for audio processing, which is composed of a massive combination of audio processing modules (EQ, compressor, overdrive, etc.).
To capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes.
Ultimately, APNN achieves an error signal of phase cancellation at about -40dB to -75dB (depending on the hardware model). With this exceptional level of error control, which surpasses even the variance between different production batches of the same hardware model, we can confidently say that APNN is capable of 'deceiving' human ears.
US Rack AI
Inspired by a legendary 'US' style channel strip that features a preamp, a line-driver, and a renowned EQ, US Rack Al delivers a highly musical and rich analog sound while maintaining extraordinary flexibility.
Код:
Rev1 remove timebomb
home page
Код:
https://www.threebodytech.com/en/products/deepvintage

Код:
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Старый 06.09.2024, 06:51   #309
WarezDownload
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По умолчанию BioSolveIT infiniSee 6.2.0 Win x64


Free Download BioSolveIT infiniSee 6.2.0 | 62.8 mb
The TeamBioSolveITare proud to releaseVersion 6.2 of the Chemical Space navigation platform infiniSeeis that gives easy and graphical access to searches in infinitely large chemical spaces of tangible molecules, and finds molecules based on a fuzzy pharmacophore-like similarity to an input query
Owner:BioSolvetIT
Product Name:infiniSee
Version:6.2.0
Supported Architectures:x64
Website Home Page :[Ссылки доступны только зарегистрированным пользователям . Регистрируйся тут...]
Languages Supported:english
System Requirements:Windows *
Size:62.8 mb
.


BioSolveIT infiniSeeis that gives easy and graphical access to searches in infinitely large chemical spaces of tangible molecules, and finds molecules based on a fuzzy pharmacophore-like similarity to an input query. Users can swiftly mine from 5 billion (5 x 109) Enamine REAL Space (not to be confused with the ten times smaller REAL database) - or use the company's free KnowledgeSpace that is based on publically available building blocks and published reactions. The output can be either directly purchased from BioSolveIT's partner Enamine; alternatively users can synthesize the results themselves with a very high likelihood due to the setup of the chemical spaces. Classical library searches can certainly also be performed, these are processed quickly with parallel computing strategies that exploit multi-node architectures on standard computers and laptops. Goodies include a forced match of user-selected subgroups; likewise very helpful is the 2D color-coding of molecular sketches that help the user understand the computed similarities. Results can be exported as SD files, remarkably with 3D coordinates on demand, or as CSV files for post-processing with a text editor. Queries may be masked to maintain IP safety.
Molecular Fingerprint Screening in Trillion-Sized Chemical Spaces
In this BioSolveIT application webinar we will introduce you to infiniSee 5 'Artemis', as well as the new Analog Hunter mode. Features and innovations will be discussed in detail to address different drug discovery scenarios.
BioSolveIT GmbHis a Bio- and Cheminformatics company. Its core businesses are software, services, and research collaborations. With three founders in academia, BioSolveIT has its backbone in research and catalyzes the genesis of products off of basic research successes. Best known is its molecular docking software FlexX. With the FTrees program BioSolveIT took leadership in ultra-fast virtual high throughput screening using a fragment reassembly based approach.






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Старый 06.09.2024, 06:53   #310
WarezDownload
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По умолчанию BioSolvetIT SeeSAR 13.1.1 Win x64


Free Download BioSolvetIT SeeSAR 13.1.1 | 147.8 mb
BioSolveITnas releasedSeeSAR 13.1.1 'Midas'is an interactive and visual molecular modeling and drug design platform for compound evolution and priorization backed up by science, is intended as an interactive tool for designing/improving ligands for drug discovery
Owner:BioSolveIT GmbH
Product Name:SeeSAR 'Midas'
Version:13.1.1
Supported Architectures:x64
Website Home Page :[Ссылки доступны только зарегистрированным пользователям . Регистрируйся тут...]
Languages Supported:english
System Requirements:Windows *
Size:147.8 mb
.

What's new in SeeSAR 13.1 'Midas'
The SeeSAR 13.1 update of 'Midas' comes with a plethora of augmentations, quality-of-life improvements and novel features.
-Quantum leap for covalent docking:The highly popular feature now supports the automatic transformation of covalent warheads into their target-bound form. Load your molecules into the docking mode, conveniently select the covalent residue you would like to target and start your covalent docking run. No need of pre-processing the ligands or for SMILES manipulation. Covalent docking has never been easier!
-Support of large-scale docking:Docking can now be processed on an external machine with the Remote Docking Mode. Coupled with the new BioSolveIT platform HPSee, SeeSAR enables you to streamline your virtual screening campaigns.
- Additional customizable visualization of the target structure. Color and display residues, chain, ligands in the way you need it!
- And many more...

Improvements to covalent docking
- Automatic detection of covalent warheads: SeeSAR now detects 36 most commonly used covalent warheads from input molecules and automatically transforms them to be used for covalent docking resulting in the creation of covalent protein-ligand complexes.
. The detection and transformation take place in the background once a covalent docking run has been initiated.
. Users can now avoid the tedious steps of having to manually edit molecules and adding linker atoms [R] at the appropriate location on input molecules.
. Molecules with linkers [R] are still supported for covalent docking as per usual.
- Automatic detection protein residues suitable for covalent docking:
. SeeSAR now detects the residues Cys, Ser, Thr, Tyr, Lys, Gln and Asn in the binding site and prepares them to be anchors for covalent attachment of molecules via docking, in the Docking Mode.
. Any residue (from the list above) suitable for covalent docking in the binding site is highlighted by a blue translucent capsule on the side-chain at which the covalent attachment could potentially happen.
. To select one of the residues for covalent docking, a single click on the corresponding capsule is sufficient. The assignment of the residue for covalent docking is visually indicated by the color of the capsule changing to pink.
. Note: SeeSAR will not determine the compatibility between the selected residue and the molecules in the docking library during the docking. All molecules from the docking library will be docked on the chosen residue.
Large-scale docking on external hardware: Introducing the external Docking Mode.
- The Docking mode switch can now be toggled to the right to find SeeSAR's new mode for running large scale docking calculations external hardware such as a single powerful machine, or a cluster.
- The prerequisite for the successful usage of this mode is the configuration of HPSee, BioSolveIT's high-performance computing framework, which is also introduced along with this release.
- Once HPSee has been installed on the external server (remote machines, clusters), access to the server can be configured via the newly added "Web Service" option within SeeSAR's System Settings.
- The mode accepts a variety of inputs including molecules added from other modes, molecules loaded from external files, and also libraries uploaded to the external server via HPSee.
- All docking runs on this mode are run on the external hardware configured, and once the run has been initiated, users can switch to other modes in SeeSAR to carry out other tasks.
- HYDE optimization of the docked poses can also be done on the server if the user wishes by turning on the corresponding automatic calculation in the "Calculations" option in the System Settings.
- Note: Once a docking run has been initiated on this mode, it is recommended that the binding site of the protein used is not changed.
- Users are informed of the status of an ongoing docking run via a progress indicator on the play button.
- Users can cancel a run that has been started by clicking on the orange button which both terminates the run and deletes all results from the server.
- Users are informed about completion, of their initiated runs via appropriate notification messages delivered via the Message Center.
Usability improvements: Enhanced control on color and visibility.
- The Sequence View from the existing versions of SeeSAR is now more aptly named as the "Target View Control" panel. This section offers improved usability to control the visibility and color of the different components of the target macromolecules loaded into SeeSAR.
- The self-explanatory dropdown items "Visibility" and "Color" dictate which components on the target i.e., residues, chains, molecules, metals, and surfaces on which the intended color or visibility assignment is to take place.
Miscellaneous improvements
- When loading proteins into the Proteins or the Protein Editor mode, SeeSAR checks completeness of the structure and warns the user via an indicator on the protein entry on the table if the structure is incomplete
- A warning triangle on the PDB input field is shown if SeeSAR detects that the PDB info database is out of date.

SeeSARis your intuitive, visual drug design platform. Converting every step of your drug discovery process from virtual screening to fragment-based design. SeeSAR fosters ideation in the most fun and comprehensive way. SeeSAR functionalities: docking simulation, scaffold replacement, fragment growing, affinity evaluation, molecular surface, torsion quality evaluation, small molecules superposition, ligand property and ADME property calculation etc.
Introduction to SeeSAR: Drug Discovery with 'Midas'
In this BioSolveIT workshop, we embark on a journey into the world of the drug discovery dashboard SeeSAR: A cutting-edge tool that has undergone a remarkable power gain over the years. During this workshop, we will offer a comprehensive introduction to its various operational "modes". Modes, pleasingly designed, cover a wide array of tasks such as molecule editing, docking, and target-ligand complex assessment. Additionally to the structure-based methods, we will discuss how SeeSAR can facilitate ligand-based drug discovery (LBDD).
BioSolveIT GmbHis a Bio- and Cheminformatics company. Its core businesses are software, services, and research collaborations. With three founders in academia, BioSolveIT has its backbone in research and catalyzes the genesis of products off of basic research successes. Best known is its molecular docking software FlexX. With the FTrees program BioSolveIT took leadership in ultra-fast virtual high throughput screening using a fragment reassembly based approach.






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Старый 06.09.2024, 06:55   #311
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По умолчанию Bulk Image Downloader 6.50 Multilingual


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Старый 06.09.2024, 06:57   #312
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Старый 06.09.2024, 06:59   #313
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По умолчанию Colors Pro 3.2.0 Multilingual + Portable


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Color picker that helps you easily select a desired color using various pallets. It is also able to pick a color from the currently displayed screen content and supports a number of different color models, i.e. RGB, HSV, HLS, CMYK.

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Старый 06.09.2024, 07:01   #314
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По умолчанию RandPass Pro 2.2.0 Multilingual + Portable


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Старый 06.09.2024, 07:03   #315
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