User profiles for A. Aliper
 | Alex AliperInsilico Medicine Verified email at insilico.com Cited by 7402 |
Genetics and epigenetics of aging and longevity
Evolutionary theories of aging predict the existence of certain genes that provide selective
advantage early in life with adverse effect on lifespan later in life (antagonistic pleiotropy …
advantage early in life with adverse effect on lifespan later in life (antagonistic pleiotropy …
[HTML][HTML] Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities
The aging process results in multiple traceable footprints, which can be quantified and used
to estimate an organism's age. Examples of such aging biomarkers include epigenetic …
to estimate an organism's age. Examples of such aging biomarkers include epigenetic …
[HTML][HTML] Artificial intelligence for aging and longevity research: Recent advances and perspectives
The applications of modern artificial intelligence (AI) algorithms within the field of aging research
offer tremendous opportunities. Aging is an almost universal unifying feature possessed …
offer tremendous opportunities. Aging is an almost universal unifying feature possessed …
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
We have developed a deep generative model, generative tensorial reinforcement learning (GENTRL),
for de novo small-molecule design. GENTRL optimizes synthetic feasibility, …
for de novo small-molecule design. GENTRL optimizes synthetic feasibility, …
druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molecular properties in silico
Deep generative adversarial networks (GANs) are the emerging technology in drug discovery
and biomarker development. In our recent work, we demonstrated a proof-of-concept of …
and biomarker development. In our recent work, we demonstrated a proof-of-concept of …
Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
Deep learning is rapidly advancing many areas of science and technology with multiple
success stories in image, text, voice and video recognition, robotics, and autonomous driving. In …
success stories in image, text, voice and video recognition, robotics, and autonomous driving. In …
[HTML][HTML] Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare
The increased availability of data and recent advancements in artificial intelligence present
the unprecedented opportunities in healthcare and major challenges for the patients, …
the unprecedented opportunities in healthcare and major challenges for the patients, …
[HTML][HTML] The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology
Recent advances in deep learning and specifically in generative adversarial networks have
demonstrated surprising results in generating new images and videos upon request even …
demonstrated surprising results in generating new images and videos upon request even …
[HTML][HTML] Deep biomarkers of human aging: application of deep neural networks to biomarker development
One of the major impediments in human aging research is the absence of a comprehensive
and actionable set of biomarkers that may be targeted and measured to track the …
and actionable set of biomarkers that may be targeted and measured to track the …
Potential 2019-nCoV 3C-like protease inhibitors designed using generative deep learning approaches
The emergence of the 2019 novel coronavirus (2019-nCoV), for which there is no vaccine
or any known effective treatment created a sense of urgency for novel drug discovery …
or any known effective treatment created a sense of urgency for novel drug discovery …