HTG Molecular Diagnostics unterbewertet? (Seite 2)
eröffnet am 24.11.20 11:43:26 von
neuester Beitrag 26.10.23 18:42:03 von
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ISIN: US40434H3021 · WKN: A3D39C · Symbol: HTGMQ
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HTG
via
IR PRESS NEWS
18.5.23
HTG to Highlight the Advantages of its Drug Discovery Engine at the 2023 BIO International Convention May 18, 2023 TUCSON, Ariz., May 18, 2023 (GLOBE NEWSWIRE)
-- HTG Molecular Diagnostics, Inc. (Nasdaq: HTGM) (HTG), a platform-based life science tools and drug discovery company, today announced that its management team will present the advantages of its proprietary drug discovery engine at the 2023 Biotechnology Innovation Organization (BIO) International Convention and will host in-person meetings during the remaining days of the June 5– 8, 2023 event in Boston, MA. HTG is pioneering a proprietary platform-based approach that is designed to help improve drug discovery, referred to as transcriptome-informed drug discovery and design. HTG’s objective is to develop best-in-class molecules for the treatment of diseases, with the ability to apply its platform agnostically across therapy areas. At the center of this approach is HTG’s proprietary RNA profiling technologies, functionally married with an advanced medicinal chemistry using a novel artificial intelligence (AI)-driven platform, allowing for the improved selection and design of molecules. The company’s most advanced discovery programs are in oncology with an emphasis on the treatment of acute myeloid leukemia (AML), with the first molecules currently progressing through the remaining portion of lead optimization and expected to have sufficient data to support entry into preclinical development in the third quarter of 2023. The company’s Senior Vice President of Therapeutics, Stephen A. Barat, Ph.D., will present the benefits of the company’s innovative approach to drug discovery as well as data from the company’s lead molecules demonstrating the utility of the platform to attendees of the BIO International Convention on Tuesday, June 6, 2023 at 2:15 PM Eastern. Dr. Barat and HTG’s Chief Executive Officer, John Lubniewski, will also be available for in-person meetings throughout the conference. Meetings with the company’s management team to discuss opportunities to partner on existing portfolio molecules or to use HTG’s platform to support potential partner company pipelines can be requested by conference participants through the BIO International Conference website. “We have demonstrated that our innovative approach to drug discovery allows for the progression of molecules from target to drug candidate in approximately 12 months, with the added benefit of developing much deeper knowledge about the biological responses in diseased cells at earlier stages in discovery. Further, the data that our team has generated in these studies serve as a tangible demonstration of the power of the drug discovery engine we have built,” said Dr. Barat. “I look forward to the opportunity to share the power of this drug discovery engine with potential partners and customers at the BIO International Convention and to continue to help others see how our technology can be used to make more well-informed selection choices earlier in the drug discovery process and improve the chances for success in development when compared to existing drug discovery and development approaches.”
via
IR PRESS NEWS
18.5.23
HTG to Highlight the Advantages of its Drug Discovery Engine at the 2023 BIO International Convention May 18, 2023 TUCSON, Ariz., May 18, 2023 (GLOBE NEWSWIRE)
-- HTG Molecular Diagnostics, Inc. (Nasdaq: HTGM) (HTG), a platform-based life science tools and drug discovery company, today announced that its management team will present the advantages of its proprietary drug discovery engine at the 2023 Biotechnology Innovation Organization (BIO) International Convention and will host in-person meetings during the remaining days of the June 5– 8, 2023 event in Boston, MA. HTG is pioneering a proprietary platform-based approach that is designed to help improve drug discovery, referred to as transcriptome-informed drug discovery and design. HTG’s objective is to develop best-in-class molecules for the treatment of diseases, with the ability to apply its platform agnostically across therapy areas. At the center of this approach is HTG’s proprietary RNA profiling technologies, functionally married with an advanced medicinal chemistry using a novel artificial intelligence (AI)-driven platform, allowing for the improved selection and design of molecules. The company’s most advanced discovery programs are in oncology with an emphasis on the treatment of acute myeloid leukemia (AML), with the first molecules currently progressing through the remaining portion of lead optimization and expected to have sufficient data to support entry into preclinical development in the third quarter of 2023. The company’s Senior Vice President of Therapeutics, Stephen A. Barat, Ph.D., will present the benefits of the company’s innovative approach to drug discovery as well as data from the company’s lead molecules demonstrating the utility of the platform to attendees of the BIO International Convention on Tuesday, June 6, 2023 at 2:15 PM Eastern. Dr. Barat and HTG’s Chief Executive Officer, John Lubniewski, will also be available for in-person meetings throughout the conference. Meetings with the company’s management team to discuss opportunities to partner on existing portfolio molecules or to use HTG’s platform to support potential partner company pipelines can be requested by conference participants through the BIO International Conference website. “We have demonstrated that our innovative approach to drug discovery allows for the progression of molecules from target to drug candidate in approximately 12 months, with the added benefit of developing much deeper knowledge about the biological responses in diseased cells at earlier stages in discovery. Further, the data that our team has generated in these studies serve as a tangible demonstration of the power of the drug discovery engine we have built,” said Dr. Barat. “I look forward to the opportunity to share the power of this drug discovery engine with potential partners and customers at the BIO International Convention and to continue to help others see how our technology can be used to make more well-informed selection choices earlier in the drug discovery process and improve the chances for success in development when compared to existing drug discovery and development approaches.”
HTG
via
linkedin
17.5.23
New Article Alert! A recent publication in the Journal of Translational Medicine sheds light on the complex process of epithelial-mesenchymal plasticity (EMP) in oral squamous cell carcinoma (OSCC). Using bulk and single-cell transcriptomics, the study reveals that OSCC cells exhibit heterogeneity in EMP states, with distinct partial EMT and epithelial differentiated phenotypes. These findings provide new insights into the mechanisms of cancer metastasis and could pave the way for the development of novel therapies. To learn more about this research, check out the full
https://bit.ly/3LZ9Hx6
via
17.5.23
New Article Alert! A recent publication in the Journal of Translational Medicine sheds light on the complex process of epithelial-mesenchymal plasticity (EMP) in oral squamous cell carcinoma (OSCC). Using bulk and single-cell transcriptomics, the study reveals that OSCC cells exhibit heterogeneity in EMP states, with distinct partial EMT and epithelial differentiated phenotypes. These findings provide new insights into the mechanisms of cancer metastasis and could pave the way for the development of novel therapies. To learn more about this research, check out the full
https://bit.ly/3LZ9Hx6
Wird schon. Man muss hier wohl Geduld haben. Aber es kommen höhere Kurse so 7,68 Euro
Lese ich da 600 mio USD weltweit für deren ersten Medikamenten Entwurf, warum kommt die Aktie nicht vom Fleck ???
HTG Highlights the Advantages of Its Drug Discovery Engine
May 16, 2023 at 8:47 AM EDT
TUCSON, Ariz., May 16, 2023 (GLOBE NEWSWIRE) -- HTG Molecular Diagnostics, Inc. (Nasdaq: HTGM) (HTG), a platform-based life science tools and drug discovery company, today reported achievement of another technical milestone in its drug discovery business.
HTG is pioneering a proprietary platform-based approach that is designed to help improve drug discovery, referred to as transcriptome-informed drug discovery and design. HTG’s objective is to develop best-in-class molecules for the treatment of diseases, with the ability to apply its platform agnostically across therapy areas. At the center of this approach is HTG’s proprietary RNA profiling technologies, functionally married with an advanced medicinal chemistry using a novel artificial intelligence (AI)-driven platform, allowing for the improved selection and design of molecules. Currently, the company’s most advanced discovery programs are in oncology with an emphasis on the treatment of acute myeloid leukemia (AML).
Using its proprietary platforms, HTG has successfully designed a first generation chemical library. The proportion of compounds with meaningful activity (hit rate) for this first library was approximately 25% in cell-based test system models. The company’s lead compounds target AML and have demonstrated in vitro efficacy both as standalone agents and in combination with current standards of care, with increased efficacy versus standard of care alone. Transcriptomic analysis of these cells revealed meaningful information that contributed to the understanding of the efficacy of the candidate molecules relative to the other compounds used as reference materials for this particular pharmacologic target. Most revealing and impressive about this outcome was that select HTG candidate molecules were found to be associated with key desirable biological differences in gene expression based on known biological pathways. These results included downregulating the expression of FLT3, a gene that is well-recognized to play a role in AML proliferation and that is also mutated in the majority of AML cases, and upregulating the expression of TET2, a known tumor suppressor gene where loss of signaling is linked to progression of this cancer. This reflects a desirable biological difference, especially when compared to the reference non-HTG comparator compound, where the expression of these particular genes was regulated in the opposite direction to the HTG compounds.
“Traditional drug discovery efforts are primarily limited to modality-target assays in vitro,” said Dr. Robert Spitale, Founding Associate Dean of Research and Professor, School of Pharmacy and Pharmaceutical Sciences at the University of California Irvine. “These assays, which have been valuable for the discovery of new drugs, do not represent the complexity of the cell. The hard part is understanding how drugs work on their targets and affect cell function and behavior – the ultimate goal would be to do drug discovery using assays that can tell developers what is happening to the entire cell system. To do so, we need robust and rapid assays, that also generate a lot of data to look at the entire cell response. This is the exciting part of HTG’s platform – a whole cell response that allows its users to dig into the details. What’s more, connecting changes in RNA expression to expected or desired outcomes of a drug screen function is a big leap forward and strongly supports the premise of HTG’s new direction in drug discovery.”
The findings and other data generated from the first library have been fed back into HTG’s AI-driven discovery engine and a second generation of candidate molecules has been rendered, with a hit rate for this subsequent library of approximately 35%. Subsequent in vitro efficacy studies on this second generation of molecules have also demonstrated further improvement in efficacy in cell-based test system models.
The lead molecules for this second library are currently progressing through the remaining portion of lead optimization and HTG expects to have sufficient data to support entry of these lead candidate molecules into development in the third quarter of 2023. The company has estimated market opportunity for the initial oncology indication for its first drug candidate at approximately $600M globally. Additionally, the company believes that the target potentially has additional value in at least six or more solid tumor indications based upon initial efficacy data generated by HTG in these other cancers.
“I see the data that our team has generated in these studies as a tangible demonstration of the power of the drug discovery engine we have built,” said Dr. Stephen A. Barat, SVP of Therapeutics at HTG. “We have demonstrated that we can progress from target to drug candidate in approximately 12 months with this platform approach, with the added benefit of having much deeper knowledge about the biological responses in diseased cells at these earlier development stages. We believe this ability to enrich our understanding of the mechanism of action for the lead compounds will allow us to make more informed selection choices far earlier in the process, which in turn will translate into greater chances for success in development.
“We continue to advance the capabilities of our discovery platform, including an exciting capability which is allowing us to use transcriptomic signatures representative of cellular perturbation from pharmacologic target modulation as a starting point where the AI system can design molecules, thus creating a capability for two way ‘conversations’ between chemistry and biology,” Dr. Barat continued. “This further increases the utility of this discovery platform for not only selecting and designing new molecules, but also as a key tool in potentially repurposing other drugs.”
May 16, 2023 at 8:47 AM EDT
TUCSON, Ariz., May 16, 2023 (GLOBE NEWSWIRE) -- HTG Molecular Diagnostics, Inc. (Nasdaq: HTGM) (HTG), a platform-based life science tools and drug discovery company, today reported achievement of another technical milestone in its drug discovery business.
HTG is pioneering a proprietary platform-based approach that is designed to help improve drug discovery, referred to as transcriptome-informed drug discovery and design. HTG’s objective is to develop best-in-class molecules for the treatment of diseases, with the ability to apply its platform agnostically across therapy areas. At the center of this approach is HTG’s proprietary RNA profiling technologies, functionally married with an advanced medicinal chemistry using a novel artificial intelligence (AI)-driven platform, allowing for the improved selection and design of molecules. Currently, the company’s most advanced discovery programs are in oncology with an emphasis on the treatment of acute myeloid leukemia (AML).
Using its proprietary platforms, HTG has successfully designed a first generation chemical library. The proportion of compounds with meaningful activity (hit rate) for this first library was approximately 25% in cell-based test system models. The company’s lead compounds target AML and have demonstrated in vitro efficacy both as standalone agents and in combination with current standards of care, with increased efficacy versus standard of care alone. Transcriptomic analysis of these cells revealed meaningful information that contributed to the understanding of the efficacy of the candidate molecules relative to the other compounds used as reference materials for this particular pharmacologic target. Most revealing and impressive about this outcome was that select HTG candidate molecules were found to be associated with key desirable biological differences in gene expression based on known biological pathways. These results included downregulating the expression of FLT3, a gene that is well-recognized to play a role in AML proliferation and that is also mutated in the majority of AML cases, and upregulating the expression of TET2, a known tumor suppressor gene where loss of signaling is linked to progression of this cancer. This reflects a desirable biological difference, especially when compared to the reference non-HTG comparator compound, where the expression of these particular genes was regulated in the opposite direction to the HTG compounds.
“Traditional drug discovery efforts are primarily limited to modality-target assays in vitro,” said Dr. Robert Spitale, Founding Associate Dean of Research and Professor, School of Pharmacy and Pharmaceutical Sciences at the University of California Irvine. “These assays, which have been valuable for the discovery of new drugs, do not represent the complexity of the cell. The hard part is understanding how drugs work on their targets and affect cell function and behavior – the ultimate goal would be to do drug discovery using assays that can tell developers what is happening to the entire cell system. To do so, we need robust and rapid assays, that also generate a lot of data to look at the entire cell response. This is the exciting part of HTG’s platform – a whole cell response that allows its users to dig into the details. What’s more, connecting changes in RNA expression to expected or desired outcomes of a drug screen function is a big leap forward and strongly supports the premise of HTG’s new direction in drug discovery.”
The findings and other data generated from the first library have been fed back into HTG’s AI-driven discovery engine and a second generation of candidate molecules has been rendered, with a hit rate for this subsequent library of approximately 35%. Subsequent in vitro efficacy studies on this second generation of molecules have also demonstrated further improvement in efficacy in cell-based test system models.
The lead molecules for this second library are currently progressing through the remaining portion of lead optimization and HTG expects to have sufficient data to support entry of these lead candidate molecules into development in the third quarter of 2023. The company has estimated market opportunity for the initial oncology indication for its first drug candidate at approximately $600M globally. Additionally, the company believes that the target potentially has additional value in at least six or more solid tumor indications based upon initial efficacy data generated by HTG in these other cancers.
“I see the data that our team has generated in these studies as a tangible demonstration of the power of the drug discovery engine we have built,” said Dr. Stephen A. Barat, SVP of Therapeutics at HTG. “We have demonstrated that we can progress from target to drug candidate in approximately 12 months with this platform approach, with the added benefit of having much deeper knowledge about the biological responses in diseased cells at these earlier development stages. We believe this ability to enrich our understanding of the mechanism of action for the lead compounds will allow us to make more informed selection choices far earlier in the process, which in turn will translate into greater chances for success in development.
“We continue to advance the capabilities of our discovery platform, including an exciting capability which is allowing us to use transcriptomic signatures representative of cellular perturbation from pharmacologic target modulation as a starting point where the AI system can design molecules, thus creating a capability for two way ‘conversations’ between chemistry and biology,” Dr. Barat continued. “This further increases the utility of this discovery platform for not only selecting and designing new molecules, but also as a key tool in potentially repurposing other drugs.”
Trading Spotlight
HTG
via
Linkedin
12.5.23
New Article Alert! A recent study used HTG #EdgeSeq data to explore the potential of IOA-244, a first-in-class non-ATP-competitive PI3K delta inhibitor, for treating solid and hematologic #cancers. The promising findings provide a strong rationale for ongoing #clinicaltrials . Read the article here: https://bit.ly/3VAYxSn
#CancerResearch #geneexpressionprofiling
https://www.linkedin.com/feed/update/urn:li:activity:7062803…
via
12.5.23
New Article Alert! A recent study used HTG #EdgeSeq data to explore the potential of IOA-244, a first-in-class non-ATP-competitive PI3K delta inhibitor, for treating solid and hematologic #cancers. The promising findings provide a strong rationale for ongoing #clinicaltrials . Read the article here: https://bit.ly/3VAYxSn
#CancerResearch #geneexpressionprofiling
https://www.linkedin.com/feed/update/urn:li:activity:7062803…
Und wieder ein grottenschlechter Quartalsbericht. Noch 1 Quartal, dann ist die Kohle alle, dazu noch ordentlich Finanzverbindlichkeiten von über 10 Millionen.
Das ist fast schon Konkursverschleppung.
Das ist fast schon Konkursverschleppung.
Antwort auf Beitrag Nr.: 73.826.980 von checkpointuk am 10.05.23 20:31:24JOJO wie immer
....mit grossen Stückzahlen hoch und sofort wieder mit Mico-Order runter 😵🙄😢
Antwort auf Beitrag Nr.: 73.787.898 von Reservesplit1 am 04.05.23 17:58:11Mal sehen was die nächsten Quartalszahlen so sagen.Wäre doch sehr zu wünschen , das hier ein paar $ durch Lizenzen und Meilensteine zu verzeichnen sind. Kurs ist ja aktuell wie ein Bachbett im Sudan
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